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PUBLIC

SAP Digital Business Service China

Lecture: The New PlatformHANA Overview

2PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Section Exam

Section Exam

Section Exam

Semester Recap and Outlook

Lecture: SAP Solution

Overview in the Digital Age

2 hours

Lecture: The Digital Core

Next Generation ERP – S/4

HANA

2 hours

Hands-On

S/4 HANA – Simple Finance

2 hours

Hands-On

S/4 HANA – Simple Logistics

2 hours

Lecture: The Business

Networks

SAP SaaS Applications

2 hours

Hands-On

SuccessFactors

2 hours

Hands-On

Customer Engagement Cloud

2 hours

Lecture: System of Innovation

– SAP Leonardo

Introduction of Leonardo

2 hours

Hands-On

Leonardo Machine Learning

2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours

Lecture: Agile Implementation

Introduction of SAP Activate and

Solution Manager

2 hours

Lecture: Leonardo Innovation

Jumpstart

Introduction of Design Thinking

2 hours

Hands-On (group work)

Design Thinking

4 hours


Conceptual Prototype

4 hours


Realization via SAP Cloud

Platform

8 hours


Presentation of Final Result

4 hours

Lecture: The New Platform

HANA Overview

2 hours

Hands-On: HANA Deep dive 1

Basic Modelling

2 hours


AFL and PAL libraries

2 hours

Lecture: Case Studies 1

HANA Innovation Show Case 1

2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours

Lecture: SAP Cloud Platform

Introduction of Cloud Platform

2 hours

Hands-On

Ariba

2 hours

Semester 1 – System of Record Semester 2 – System of Innovation

Hands-On

Solution Manager 7.2

2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Database Overview

▪ SAP HANA Technology Innovation

▪ SAP HANA Features & Business Value

Agenda


Course Goals

This course will prepare you to：

• Get an overview of Database

• Understand Technology of Row-Store and Column-Store

• Understand Technology of Parallelization

• Get an overview of SAP HANA Business Value

Database Overview


What is Database?

• A book?

• A spreadsheet?

• A menu on the table in the restaurant?

• A Database is a collection of data that is related to a particular topic or purpose.

As an example, employee records in a filing cabinet, a collection of sales leads in

a notebook, are examples of collections of data or databases.


Why do we need Database?

• Do you find yourself entering the same values of information into multiple

spreadsheets/reports/documents?

• When you make the changes in your spreadsheet/reports/documents, are you

forced to make the same changes in others?

• Do you have a large amount of data that is becoming larger and unmanageable?

• Do several people in your organization have the need to view your data at the

same time?

• When viewing your information, are you constantly scrolling on your screen to

view it all? Or do you have a difficult time viewing the specific sets of data that you

want?


Advantages of Database

• Data Independence/Reduced Maintenance

• Improved Data Sharing

• Increased Application Development Productivity

• Enforcement of Standards

• Improved Data Quality (Constraints)

• Better Data Accessibility/ Responsiveness

• Security, Backup/Recovery, Concurrency

Since database is that good,

how to make a database?


Tables

• Using tables is the best way to store structured data.

• They consist of rows and columns.

• Columns possess headers defining the data type stored in them and

the name with which the column can be addressed.

• Rows hold the actual attribute which are stored in the database.

• Each row is uniquely identified by a Primary Key that is represented

by one or more columns.

• A Foreign Key points to a column or a set of column in another

(referenced) table.

1

2

3

4

0

P F


Transactions and the ACID principle

A Transaction is an indivisible unit of processes such as reads and writes.

ACID is an acronym for Atomicity, Consistency, Isolation and Durability.

• Atomicity: A Transaction fails even if only one part of it fails.

• Consistency: A Transaction brings the database from one consistent state to

another.

• Isolation: Transactions cannot interfere with each other.

• Durability: Data changed by committed Transaction are persisted, even after a

power loss or error.


Indexing the data

• Returning the result of a query for a large dataset can take

a considerable time.

• Introducing indices is an option to counteract this trend.

• Definition: A data structure improving the search

performance of a database.

• It stores the values of the indexed column and a pointer to

the row which it is contained in.

• The cost of faster searches are a slower write performance

and higher disk space consumption.

Think of an index

as the index of a

book with

pointers to the

topics of interest.


Components of a database

Data

Files

Direct User

QueriesApplication

Programs



Data

Files

Query Processor

Direct User

QueriesApplication

Programs



Data

Files

Query Processor

Direct User

QueriesApplication

Programs

File Manager

Database Manager



Data

Files

Query Processor

Direct User

QueriesApplication

Programs

File Manager

Authorizati

on Tables

Database Manager

Concurrent

Access

Tables



Data

Files

Query Processor

Direct User

QueriesApplication

Programs

Database

Administrat

or

DDL Processor

Database

Description

Tables

File Manager

Authorizati

on Tables

Database Manager

Concurrent

Access

Tables



Data

Files

Query Processor

Parameter

Files

Direct User

QueriesApplication

Programs

Database

Administrat

or

DDL Processor

Database

Description

Tables

File Manager

Authorizati

on Tables

Database Manager

Concurrent

Access

Tables


Query Execution Plan

The path how a query is being executed to return the correct result.

Show me

the song

with ID 454

Jump to table SONGS, search for record with ID

454 and give back all its fields!

SONGS


Query Execution Plan of Traditional DB (DB6)


Query Execution Plan of HANA DB

SAP HANA Technology Innovation In Memory Technology Overview

What is SAP HANA

SAP HANA Technology

Column Store & Row Store

Parallelization

Delta Merge


Motivation

“Imagine you feel hungry. But instead of just opening the fridge (imagine you don’t have one)

to get hold of, say, some butter and cheese, you would have to leave the house for the nearest

dairy farm. Each time you feel hungry. This is what we do today with most company data: We

keep them far away from where we process them…” *

– Prof. Norbert Walter

* Quote from the new book In-Memory Data Management by H. Plattner and A. Zeier


In Memory Computing

Programming against a new scarce resource…Memory

Core

CPU

Disk

CPU Cache

Main Memory

… requires cache-conscious data-structures and algorithms.


Performance Bottleneck

Core

CPU

Performance bottleneck today:

CPU waiting for data to be

loaded from memory into cache

Performance bottleneck in the past:

Disk I/ODisk

CPU Cache

Main Memory


SAP HANA In-Memory ComputingHardware and Software Innovations

Innovations in

Hardware-technology

~1 TB RAM / Server

Significant Reduction in cost

/ GB

Multi-Core Architecture

Massive scaling with blade

servers

Row- and column based

data store

Compression

Partitioning

No pre-calculated

aggregates required

Innovations in

SAP-Software-technology

SAP HANA’s strength comes from innovations in hardware and software

Important to understand them for understanding performance


What is SAP HANA

SAP HANA Technology


Parallelization & SW Side Optimization


SAP HANA – High-Performance ANalytic Appliance

Who is it for?

Analyze large volumes of operational data in real-

time

Access, model, and analyze operational data in a

single environment without affecting existing

applications or systems

Provide a high performance technological

foundation for business analytics

What is it for?

SAP HANA is a data source agonistic in-memory appliance that enables organizations to

analyze business operations in real-time based on large volumes of data.

Business User

Executive

Analyst


SAP HANA Not Just an In-Memory DB

What is SAP HANA?

SAP HANA is a preconfigured out of the box Appliance

▪ In-Memory software bundled with hardware delivered from the

hardware partner (HP, IBM, and others)

▪ In-Memory Computing Engine (“ICE”)

▪ Tools for data modeling, data and life cycle management,

security, operations, etc.

▪ Real-time Data replication via Sybase Replication Server

▪ Support for multiple interfaces

▪ Content packages (Extractors and Data Models) introduced over

time

SAP

HANA

3rd Party

Replicate

ETL

SAP HANA

modeling

SQ

LM

DX

BIC

S

3rd

Party

ETL: Extract Transfer Load

BW: Business Warehouse

BI: Business Intelligence


What is SAP HANA

SAP HANA Technology


Parallelization

Delta Merge


SAP HANA TechnologyRow Store

Stores table by row, data records are available as complete lines in

one read.

ID Artist Genre Title

1 Adele soulRolling In

The Deep

2 Lady Gaga popBorn this

way

3 Katy Perry house E.T.

4 Jason Mraz pop I am yours


way




The Deep

Single-record access:

SELECT * FROM Tophits where ID = ‘2’


SAP HANA TechnologyColumn Store

Stores table by column, columns can be accessed in one read..

ID Artist Genre Title hits


The Deep352


way216

3 Katy Perry house E.T. 183

4 Jason Mraz pop I am yours 96

1

2

3

4

Adele

Lady Gaga

Katy Perry

Jason

Mraz

soul

pop

house

pop

Rolling In

The Deep

Born this

way

E.T.

I am yours

352

216

183

96

Single-scan aggregation:

SELECT SUM(hits) FROM Tophits

∑

Result: 847


SAP HANA TechnologyRow Store vs. Column Store

Data records are available as

complete tuples in one read.

Column Store

stores tables by column

Row Store

stores tables by row

Tuple1

Tuple2Att1 Att1 Att2

Att2Att2

▪Columns can be accessed in one

read


SAP HANA TechnologyRow Store vs. Column Store

Column Store

stores tables by column

Row Store

stores tables by row

Tuple1

Tuple2

• The application needs to process only one single

record at one time (many selects and /or updates of

single records).

• The application typically needs to access the

complete record

• The columns contain mainly distinct values so

compression rate would be low

• Neither aggregations nor fast searching are required

• The table has a small number of rows (for example

configuration tables)

• Calculations are typically executed on single or few

columns only

• The table is searched based on values of a few

columns

• The table has a big number of columns

• The table has a big number of rows and columnar

operations are required (aggregate, scan, etc.)

• High compression rates can be achieved because the

majority of the columns contain only few distinct values

(compared to number of rows)

Att1 Att1 Att2Att2

Att2


Column “Artist”

(uncompressed)

sort

ed

Value ID implicity given by

sequence in which values are

stored

Value-ID sequence

One element for each row in

column

ID Artist Genre Title

1 Adele soulRolling In The

Deep

2 Lady Gaga pop Born this way



5 Adele soulsomeone like

you

6 Lady gaga pop Pockerface

7 Katy Perry pop Part of me

8 Bruno Mars popJust the Way

You Are

9 Jason Mraz Pop Lucky

10 Katy Perry pop Wide awake

Value ID value

1 Adele

2 Bruno Mars

3 Jason Mraz

4 Katy Perry

5 Lady gaga

Dictionary

rowid

Value id

1 1

2 5

3 4

4 3

5 1

6 5

7 4

8 2

9 3

10 4

This compression technology is called the Dictionary Compression. By

default, all column store data are dictionary compressed. Other

compression operations are executed on top of the dictionary

compression.

SAP HANA TechnologyDictionary Compression


Product Stock

A 5

B 4

C 3

D 4

E 2

F 2

G 2

H 4

I 4

J 4

K 5

L 5

M 4

N 3

O 3

P 2

Mapping to

memory

A B C D E F G H I J K L M N O P 5 4 3 4 2 2 2 4 4 4 5 5 4 3 3 2

A 5 B 4 C 3 D 4 E 2 F 2 G 2 H 4 I 4 J 4 K 5 L 5 M 4 N 3 O 3 P 2

OR

memory address

memory address

SAP HANA TechnologyOther compression operations


SAP HANA TechnologyOther compression operations

Compression rate depends on data distribution

Decompression is not necessarily required for all operations:

i.e. max or avg

Direct update into compressed storage is expensive:

So Split into delta and main storage with periodic merges

Take Aways:

A B C D E F G H I J K L M N O P 5 4 3 4 2 2 2 4 4 4 5 5 4 3 3 2

A K L B D H I J M C N O E F G P 5 5 5 4 4 4 4 4 4 3 3 3 2 2 2 2

Sort


Example: Row vs. Column Store Compression


Example: Compression Ratio

Traditional DB SAP HANA DB

~ 1/7

~ 1/7


SAP HANA TechnologyParallelization

▪ Column-based storage also simplifies parallel execution

using multiple processor cores

▪ Operations on different columns can easily be processed in

parallel execution of operations on one column can be

parallelized by dividing the column into multiple sections

that are processed by different processor cores


SAP HANA TechnologyDelta Merge

SAP HANA Features & Business Value SAP HANA Features

SAP HANA Business Value Proposition


SAP HANA FeaturesResponse Time


SAP HANA FeaturesData Compression


SAP HANA – SAP World

MDX SQL BICSSQL

ModelingStudio

Real–Time Replication

Services

Data Services

SAP HANA

Other Applications SAP BusinessObjects

SAP NetWeaver

Business

Warehouse

SAP Business

Suite3rd Party

In-Memory Computing Engine

Calculation and Planning Engine

Row & Column Storage

Capabilities Enabled

• Analyze information in real-time

• Create flexible analytic models

• Foundation for new category of

applications

• Minimizes data duplication

• High compatible to 3rd party

production and BI products

SAP HANA Features & Business Value SAP HANA Features

SAP HANA Business Value Proposition


Benefits from Business View

▪ Real-Time Decision Making

– Fast and easy creation of ad-hoc views on business

– Access to real time analysis

▪ Accelerate Business Performance

– Increase speed of transactional information flow in areas such as planning, forecasting, pricing and offers…

▪ Unlock New Insights

– Remove constraints for analyzing large data volumes - trends, data mining, predictive analytics etc.

– Structured and unstructured data

▪ Improve Business Productivity

– Business designed and owned analytical models

– Business self-service reduce reliance on IT

– Use data from anywhere

▪ Improve IT efficiency

– Handling growing data volume and complexity efficiently

– Lower landscape costs

Speed

Scale

Flexible


Benefits of Being a REAL Time Consumer

Empty Shelves, Ineffective Promotions and Un-known Consumer Preferences

• Reduction of out of stocks events resulting in: Increase in revenues by $ 400 Million

• Trade promotion management uplift: Increase in revenues by $ 250 Million

• Real time consumer insights: Increase new product revenue by $ 200 Million

• Decrease total cost of ownership in IT: Reduction in costs of 30%

Advertising & Consumer Promotions

TPM

Consumer

TPM

http://sapmats-de.sap-ag.de/Pictures/_/public/_OneVoice/4Industry/ConsumerProducts/ConsumerProducts1.htm


Use case: LenovoComputer Hardware – Improved performance for the Business Intelligence Reporting

Product: BW (Business Warehouse) on HANA

Business Challenge

Drive operational excellence in reporting Global Shipment

Process data

Technical Challenge

Needed faster sales pipeline reporting from CRM

Benefits

Real-time accurate reporting makes operations more efficient

and productive

Become SAP’s Hardware partner and sell servers to SAP HANA

customers

Improve speed and hence utilization of BW reporting tools

20x report

performance

improvement

2x data

compression in

HANA from BW

60x improvement in

general BW query

performance from

hours to minutes


Use case: Unilever – Consumer ProductsWorld's third-largest consumer goods company measured by 2011 revenues

Product: Performance analysis between SAP BPC(Budget Planning Control)

7.5 (classic database) versus SAP BPC 10 powered by SAP HANA

Business Challenges/Objectives

Improve sales planning and forecasting processes

Compare product cost with transfer pricing analysis using SAP HANA

Improve the accuracy of product pricing and analysis of product costs

Technical Challenges

Complex calculation models

Processing big data volume (~200 million records size)

Benefits Estimated

15x faster transfer price analysis with SAP BPC 10 on SAP HANA

Allow for weekly, rather than quarterly, product costing processes

Implement product pricing more accurately

Significant

Improvementin accurately pricing

products

~15x Faster to return results; run

200 million records in

30 seconds

Run Weeklyproducts cost

processes


Use case: NBA.comThe pre-eminent men's professional basketball league in North America

Today, millions of fans around the world

visit this Web site to get their hands on the

NBA’s latest statistics and more than 65

years’ worth of historical data.

“There’s such a rich history of statistics in

the NBA, yet we weren’t providing our fans

a robust enough database, because our

systems couldn’t handle it.”

As Senior Vice President and CIO Michael

Gliedman notes, “We would say to

ourselves, how do we make this

awesome?”

The answer to that question was found in

the SAP HANA® platform and its in-

memory computing technology.

http://nba.com/


Use case: German Football Association

A Winning Team for German Football

Deutscher Fussball-Bund conducted a

detailed analysis of the top software vendors

and selected the SAP CRM rapid-deployment

solution powered by the SAP HANA platform,

running in the SAP HANA Enterprise Cloud.

DFB positioned itself for a swift and simple

implementation with the rapid-deployment

solution. The company was looking for a

solution that was quick to install, scalable,

and preconfigured, and the rapid-deployment

solution met all those needs. DFB was able to

implement the SAP CRM application in about

three months, thanks to a preconfigured

solution and a clear roadmap laid out by the

SAP Services organization


Course Summary

You should now be able to:

✓ Introduce Database

✓ Sketch out Technology of Row-Store and Column-Store

✓ Sketch out Technology of Parallelization

✓ Introduce SAP HANA Business Value

Thank you.

PUBLIC


Hands onHANA Deep Dive 1: Basic Modeling


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ HANA Studio Introduction ~ 10 m

▪ HANA Modeling Introduction ~ 20 m

▪ Exercises ~ 90 m

Agenda


Course Goals


• Get an overview of HANA Studio

• Understand HANA Modeling Basic Concept

• Create HANA Information view


Recap: SAP HANA In-Memory ComputingHardware and Software Innovations

Innovations in

Hardware-technology

~1 TB RAM / Server

Significant Reduction in cost

/ GB

Multi-Core Architecture

Massive scaling with blade

servers

Row- and column based

data store

Compression

Partitioning

No pre-calculated

aggregates required

Innovations in

SAP-Software-technology

SAP HANA’s strength comes from innovations in hardware and software

Important to understand them for understanding performance


SAP HANA Studio

It is an Eclipse based tool which provides an environment for administration, monitoring, modeling and data provisioning.

Navigator

View

Administration View

Properties View

Memory Usage

CPU Usage

Disk Usage

HANA Version


SAP HANA StudioHANA studio Navigator Structure

Backup editor

Catalog

Content

Provisioning

Security

Provide the information regarding currently running backup, last successful

backup, configuration details of the backup and access to backup catalog.

Represent HANA’s data dictionary, i.e. all data structures, tables, and data which

can be used. Contains a list of Schemas which is used to categorize tables

according to user defined groupings.

Represent the design-time repository and contains information about data

models, organized in packages. E.g. information views, like Attribute, Analytic

and Calculation Views, can be found here.

Provide data provisioning for Smart Data Access (SDA). SDA enables remote data

to be accessed as if they are local tables, without copying the data into HANA.

Allow to define audit policies, configure Password policy, Configure data volume

encryption. User and Role Management

*Supported sources: SAP IQ, SAP ASE, SAP Sybase ESP, Apache Hadoop, Teradata Database, Microsoft SQL Server, Oracle DB, IBM Puredata System


Introduction to SAP HANA Modeling

❖ Modeling refers to an activity of refining or slicing data in database tables by creating views to

depict a business scenario. The views can be used for reporting and decision making.

❖ In SAP HANA, these views are known as information views.

❖ Information views use various combinations of content data (that is, nonmetadata) to model a

business use case. Content data can be classified as follows:• Attribute: Descriptive data, such as customer ID, city, and country.

• Measure: Quantifiable data, such as revenue, quantity sold and counters.

❖ You can create the following types of information views:• Attribute Views• Analytic Views• Calculation Views


OLAP

Engine

Join

Engine

Calculation Engine

Analytic

ViewsAttribute

Views

Calculation

Views

SAP HANA ModelingHANA Information Views

Attribute View:

❖ Contain attributes.

❖ Created based on one table or tables (with join)

Analytic Views:

❖ Represent an OLAP cube in HANA.

(Star Schema)

❖ Contain attributes and measures.

❖ Created based on Fact Table and

Attribute Views.

Calculation View:

❖ Contain attributes and measures.

❖ Created based on tables, attributes views,

analytic views, or other calculation views.

❖ Defined as Graphical View or Scripted View.

❖ Supported Nodes: Union, Join, Projection,

Aggregation, Rank

❖ Recommend to create graphical calculation

views for all analytical use cases.

* All three types of information views that you create in SAP HANA

Modeler perspective are non-materialized.


Defining Table Join Types and CardinalityJoining Tables

Inner Join

Returns rows when there is at least one match in both tables. Combines

records from the left and right table exactly when the specified criteria are

met. If the criteria are not met, no record is created in the result set.

Left (Right) Outer Join

Returns all rows from the left (right) table, even if there are no matches in the

right (left) table. If records match, they are combined, otherwise the columns

are empty.

Referential Join

Text Join

n..1 1..1n..m

Used to join a multilingual description table to a master data table (e.g. Material_ID

Description). The text join always filters on one language, and thus one needs to specify a

language column in the text table. The language is filtered based on the view settings (per

default taken from the user profile)

Semantically an inner join that assumes that referential integrity is given, that is, joining of

tables with primary keys and corresponding foreign keys.


❖ Unions are used to combine the result-set of two or more SELECT statements.

❖ Union can‘t be used in Attribute/Analytic views, only can be realized in Calculation Views.

OLAP in SAP HANA – Union

Exercise 1HANA Studio - Add System


Add System in HANA Studio and Check HANA Overview Page

Add HANA System in HANA Studio:

(1) Click Open Administration Console

(2) Click to add SYSTEM.

(3) Add Host Name.

(4) Add Instance Number.

(5) Click .

(6) Maintain User Name and Password,

check ‘Store user name and password in

secure storage’. After check it you will

not be requested to fill the password

each time when you log on HANA

system.

(7) Click .

(8) Click .

*Demo: 01_Add System in HANA Studio and Check HANA Overview Page.exe; Exercise Details: Exercise 1.pptx


Add System in HANA Studio and Check HANA Overview Page

Check HANA Overview Page:

(9) Double click system SID: PED. Then

SAP HANA Administration Console will

be opened.

(10) You can see Overview Page and

You can see General Information in this

page. Such as to find HANA version. E.g.

1.00.122.12.

*Demo: 01_Add System in HANA Studio and Check HANA Overview Page.exe; Exercise Details: Exercise 1.pptx

Exercise 2Modeling- Create a Package


HANA Modeling – Create a Package

Create a Package in HANA Studio:

(1) Right-clicking on Content with the

mouse opens a shortcut menu.

(2) New->Package; Left-clicking

Package to create a new Package.

(3) Maintain Name for Package. Like

00_Student.

(4) Maintain Description for Package.

Like 00_Student.

(5) Click to finish. Then you will

have a new package.

(6) Click to open Content then you will

see your package and other packages.

(7) Find your package with name

00_Student.

*Demo: 02_Create a Package.exe; Exercise Details: Exercise 2.pptx

Exercise 3Modeling- Check Table Related Info


HANA Modeling – Check Table Related Info 1

Where to find table related info? --

Catalog:

(1) Open Catalog with left-clicking on .

Then you can see there are multiple

Schema.

(2) Open one Schema with left-clicking

on . E.g. SK1_EPM_REPL is the

Schema that we want to use today.

(3) Open Tables with left-clicking on .

The you will see all tables in this

schema.

*Demo: 03_Find Table Related Info.exe; Exercise Details: Exercise 3.pptx



Check table SNWD_BPA Definition:

(4) Right-clicking on SNWD_BPA.

(5) Left-clicking on Open Definition. You

will see all Columns in the default page.

(6) Left-clicking on Indexes. You will see

index created status for this table.

(7) Left-clicking on the row display in

Indexes page. You will see Index Details.

(8) Left-clicking on Further Properties.

You will see further info (If has) for this

table.

(9) Left-clicking on Runtime Information.

You will see General Information for this

table.




Check table SNWD_BPA Data:

(10) Right-clicking on SNWD_BPA.

(11) Left-clicking on Open Data Preview.

You will see all Data in this table. You

can see column CLIENT, NODE_KEY,

BP_ROLE, EMAIL_ADDRESS,

PHONE_NUMBER.

(12) Clicking the scroll button Column

right displays the desired screen area.

You can see column COMPANY_NAME.

(13) Get data in ascending order based

on column COMPANY_NAME. Left-

clicking on COMPANY_NAME column

then you can get data with ascending

order.




Check table SNWD_BPA_CONTACT Definition:

*Step is same as steps for table SNWD_BPA.

We look at this table too due to we will use

these 2 tables in modeling later.

(14) Right-clicking on SNWD_BPA_CONTACT.

(15) Left-clicking on Open Definition. You will

see all Columns in the default page.

(16) Right-clicking on SNWD_BPA_CONTACT.

(17) Left-clicking on Open Data Preview. You

will see all Data in this table.

(18) Display the full value for column

NODE_KEY. You can double click on the line of

the column NODE_KEY to see full value as

some value are not complete displaying with

default column width.

(19) Close this page.


Exercise 4Modeling- Create an Attribute View


❖ Business Scenario：Business Partner Report. This report includes Business Partner

Name, Node Key, BP Role, Company Name. Then based on BP Role’s value to judge this

is Customer or Supplier.

▪ Table SNWD_BPA: CLIENT, NODE_KEY, BP_ROLE, COMPANY_NAME, etc.

▪ Table SNWD_BPA_CONTACT: FIRST_NAME, LAST_NAME, etc.

▪ Join Condition: CLIENT, NODE_KEY=PARENT_KEY.

▪ Output: CLIENT, NODE_KEY, BP_ROLE, COMPANY_NAME, FIRST_NAME, LAST_NAME;

▪ Calculated Column: BP_ROLE_TEXT. Logic: BP_ROLE = 01-> Supplier, BP_ROLE = 02 -> Customer.

▪ Semantics: NODE_KEY as Key.

▪ Exercise: HANA Attribute View

▪ Name: AT_BUSINESS_PARTNER

HANA Modeling – Create an Attribute View

*Demo: 04_Create an Attribute View.exe; Exercise Details: Exercise 4.pptx


HANA Modeling – Create an Attribute View 1

Where to create Information Views? --

Content

(1) Click for Catalog.

(2) Click for Content to find package.

(3) Right-clicking on 00_Student with

mouse.

(4) New -> Attribute View.

(5) Maintain the Attribute View Name:

AT_BUSINESS_PARTNER.

(6) Click Finish.




Add Tables in Attribute View:

(7) Click to add 1st table in Attribute View.

(8) Type the table name to search for:

SNWD_BPA.

(9) Left-clicking on SNWD_BPA

(SK1_EPM_REPL) with mouse. (* there are

other schema also contains same table,

please choose the one in our schema

SK1_EPM_REPL).

(10) Click OK.

(11) Click to add 2nd table in Attribute View.

(12) Type the table name to search for:

SNWD_BPA_CONTACT.

(13) Left-clicking on SNWD_BPA_CONTACT

(SK1_EPM_REPL) with mouse.

(14) Click OK.




Maintain Join in Attribute View:

(15-16) Join SNWD_BPA.CLIENT to

SNWD_BPA_CONTACT.CLIENT.

(17-18) Join SNWD_BPA.NODE_KEY to

SNWD_BPA_CONTACT.PARTNER_KEY.

Set Output Column:

(19-24) Set out put columns by left-clicking

on each column: CLIENT, NODE_KEY,

BP_ROLE, COMPANY_NAME,

FIRST_NAME, LAST_NAME.




Create Calculated Column:

(25) Right-clicking on Calculated Columns to

add one calculated column.

(26) Left-clicking on New.

(27) Maintain Calculated Column Name:

BP_ROLE_TEXT.

(28) Maintain Data Type and Length.

(29) Maintain Expression:

if("BP_ROLE"='01','SUPPLIER','CUSTOMER').

(30) Click OK.




Maintain Semantics :

(32) Set Key Column for NODE_KEY. (* You can

also use other functions in Semantics part like

‘Hidden’, ‘Label Column’, etc.)

Save and Activate:

(33) Click to save and activate this view.

Check Job Log:

(34) As we hide the Log page, you can click

to restore the Log page. You can see Job Log is

Completed successfully.

Data Preview:

(35) Click for data preview.

(36) Click Raw Data to see the final result. (*

Here you can see BP_ROLE_TEXT column

result)



❖ Business Scenario：Product Report.

Customer needs a report with info like product ID, Price, etc.

▪ Table SNWD_PD：CLIENT, NODE_KEY, PRODUCT_ID, TYPE_CODE, CATEGORY, SUPPLIER_GUID,

CURRENCY_CODE, PRICE;

▪ KEY: PRODUCT_ID.

▪ Exercise: HANA Attribute View

▪ Name: AT_PRODUCT

HANA Modeling – Create an Attribute View (Optional)

*Demo: 04_Create an Attribute View (Optional).exe

Exercise 5Modeling- Create an Analytic View


❖ Business Scenario：Purchase Order Report. This report needs to contain info like PO

Gross Amount, Net Amount, BP Name, Product Price, etc.

▪ Table SNWD_PO：CLIENT, PO_ID, PARTNER_GUID;

▪ Table SNWD_PO_I：CLIENT, PO_ITEM_POS, PRODUCT_GUID, GROSS_AMOUNT, NET_AMOUNT;

▪ Join Condition: CLIENT, NODE_KEY=PARENT_KEY;

▪ Star Join: AT_BUSINESS_PARTNER, AT_PRODUCT to get detail info. Left Out Join, Cardinality:（n..1).

▪ Measure: GROSS_AMOUNT, NET_AMOUNT.

▪ Exercise: HANA Analytic View.

▪ Name: AN_PO

HANA Modeling – Create an Analytic View

*Demo: 05_Create an Analytic View.exe; Exercise Details: Exercise 5.pptx


HANA Modeling – Create an Analytic View 1

How to create an Analytic View:

1. Package->New->Analytic View. Name

AN_PO.

2. Add tables in Data Foundation:

SNWD_PO, SNWD_PO_I.

Set output columns as screenshot.

Join condition: CLIENT, NODE_KEY =

PARENT_KEY.



HANA Modeling – Create an Analytic View 2

How to create an Analytic View:

3. Add Attribute Views in Star Join part:

AT_BUSINESS, AT_PRODUCT.

Join: Data Foundation Left Outer Join

attribute views with Cardinality n:1. Join

condition as screenshot.

4. Ser Measures: Semantics-> Mark

GROSS_AMOUNT & NET_AMOUNT as

Measures.

5. Activate it and do data preview to

check result.


Exercise 6Modeling- Create a Calculation View


❖ Business Scenario：Product and Sales Analysis Report.

This report is to get all Gross Amount and Net Amount for Product and Sales Scenario.

▪ Used Views：AN_EPM_PROC_DETAILS, AN_EPM_SALES_DETAILS.

▪ Output：CITY, COUNTRY, LAST_NAME, MIDDLE_NAME, FIRST_NAME, TITLE, CURRENCY, GROSS_AMOUNY,

NET_AMOUNT.

▪ Function: Union.

▪ Measure: GROSS_AMOUNT, NET_AMOUNT.


▪ Name: CA_PROC_SALES_BY_ANALYSIS_G

HANA Modeling – Create a Calculation View

*Demo: 06_Create a Calculation View.exe; Exercise Details: Exercise 6.pptx


HANA Modeling – Create a Calculation View 1

How to create a Calculation View:

1. Package->New->Calculation View.

Name: CA_PROC_SALES_ANALYSIS_G.

2. Add Projections: add 2 projections here,

including 2 Analytic Views:

AN_EPM_PRODUCT_DETAILS,

AN_EPM_SALES_DETAILS.

Set output for each projection: CITY,

COUNTRY, FIRST_NAME, LAST_NAME,

GROSS_AMOUNT, NET_AMOUNT.



HANA Modeling – Create a Calculation View 2

How to create a Calculation View:

3. Add Union: union 2 projections together

as screenshot. Then map the columns

from source to target.

4. Set Measures: Add column as

Aggregated Column for

GROSS_AMOUNT, NET_AMOUNT.

5. Activate it and do Data Preview to

check result.


Exercise 7Modeling- Create a Calculation View – SQL (Optional)


❖ Business Scenario：Same as Exercise 6.

▪ Use SQL Script Based Calculation View to realize same function.


▪ Name: CA_PROC_SALES_BY_ANALYSIS_S

HANA Modeling – Create a Calculation View (SQL Based)

*Demo: 07_Create a Calculation View_SQL (Optional).exe; Exercise Details: Exercise 7.pptx


HANA Modeling – Create a Calculation View (SQL Based)

The view will be created as below.

*Demo: 07_Create a Calculation View_SQL (Optional).exe; Exercise Details: Exercise 7.pptx


Course Summary


✓ Had an overview of HANA Studio

✓ Understand HANA Modeling Basic Concept

✓ Create HANA Information view

Thank you.

PUBLIC


Hands onHANA Deep Dive 2: AFL and PAL libraries


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ AFL Overview

▪ Predictive Analysis Introduction

▪ Working with SAP HANA PAL

▪ Working with Application Function Modeler(AFM)

▪ Exercises

Agenda


Course Goals


• Basic approach for predictive analysis

• Classic predictive analysis algorithm

• Hands-on exercise to predict potential customers for buying a

caravan insurance policy

AFL Overview


SAP HANA is much more than just a Database


Predictive Analytics Process in SAP HANA


Application Function Library in General

Application Function Library (AFL) – what is it?

▪ Pre-delivered commonly utilized business, predictive and other types of algorithms for use in projects

or solutions that run on SAP HANA. The technology framework enabling the use of these algorithms

is called the Application Function Library.

What are it’s benefits?

▪ These algorithms can be leveraged directly in development projects, speeding up projects by avoiding writing

custom complex algorithms from scratch. AFL operations also offer very fast performance, as AFL functions run

in the core of SAP HANA in-memory DB.

What are its primary libraries?

▪ The Predictive Analysis Library (PAL) is a set of functions in the AFL. It contains pre-built, parameter-driven,

commonly used algorithms primarily related to predictive analysis and data mining.

▪ The Business Function Library (BFL) is a set of functions in the AFL. It contains pre-built, parameter-driven,

commonly used algorithms primarily related to finance.


Application Function Library(AFL) Architecture

▪ Application Functions

– Written in C++ and delivered as AFL content by

SAP

– Predictive Analysis and Business Function Library

have been released in SPS 05 as AFL content

▪ AFL Framework

– On demand library loading framework for

registered and supported libraries

▪ Application Function Modeler(AFM)

– A graphical editor to facilitate a faster and easier

design-time process of creating the wrapper-

procedures

Predictive Analysis Introduction


PAL in SAP HANA


Predictive Analysis Library (PAL) - Algorithms Supported I

▪Association Analysis▪Apriori

▪Apriori Lite

▪ FP-Growth *

▪KORD – Top K Rule Discovery **

▪Classification Analysis▪CART *

▪C4.5 Decision Tree Analysis

▪CHAID Decision Tree Analysis

▪K Nearest Neighbour

▪ Logistic Regression

▪Back-Propagation (Neural Network) **

▪Naïve Bayes

▪Support Vector Machine

* New in SPS 08

▪Cluster Analysis▪ABC Classification

▪DBSCAN

▪K-Means

▪K-Medoid Clustering *

▪K-Medians **

▪Kohonen Self Organized Maps

▪Agglomerate Hierarchical

▪Affinity Propagation

▪Regression▪Multiple Linear Regression

▪Polynomial Regression

▪Exponential Regression

▪Bi-Variate Geometric Regression

▪Bi-Variate Logarithmic Regression

** New in SPS 09 – Names to be finalized

▪Time Series Analysis▪Single Exponential Smoothing

▪Double Exponential Smoothing

▪ Triple Exponential Smoothing

▪ Forecast Smoothing

▪ARIMA *

▪Brown Exponential Smoothing **

▪Croston Method **

▪ Forecast Accuracy Measure**

▪ Linear Regression with Damped Trend

and Seasonal Adjust**


Predictive Analysis Library (PAL) - Algorithms Supported II

▪Probability Distribution▪Distribution Fit *

▪Cumulative Distribution Function *

▪Quantile Function *

▪Outlier Detection▪ Inter-Quartile Range Test (Turkey’s

Test)

▪Variance Test

▪Anomaly Detection

▪Link Prediction▪Common Neighbors

▪ Jaccard’s Coefficient

▪Adamic/Adar

▪Katzβ

* New in SPS 08

▪Statistic Functions

(Multivariate)▪Covariance Matrix

▪Pearson Correlations Matrix

▪Chi-squared Tests:

-Test of Quality of Fit

-Test of Independence

▪ F-test (variance equal test)

▪Other▪Weighted Scores Table

▪Substitute Missing Values

** New in SPS 09 – Names to be finalized

▪Data Preparation▪Sampling

▪Random Distribution Sampling *

▪Binning

▪Scaling

▪Partitioning

▪Principal Component Analysis (PCA) **

▪Statistic Functions (Univariate)▪Mean, Median, Variance, Standard

Deviation

▪Kurtosis

▪Skewness


Association AnalysisWe use it in our everyday lives


Association Analysis

- Example


Cluster Analysis

• Customer segmentation

• Product positioning

• Crime pattern analysis

• …


▪ Who is the most important customer?

Cluster Analysis

- ABC Classification


▪ Example

Classification Analysis

- Decision Tree Algorithms


• Definition: the sum of each attribute multiplied by its weight.

• In the example: Calculated score for Lily:

▪ 30000 * 0.0005 + 9 * 2 + 3 * 1 = 15 + 18 + 3 = 36

• Score many records for comparison and sorting

Other

- Weighted Score Tables

Working with SAP HANA PAL


Predictive Analysis Library (PAL) Procedure Basics

The Predictive Analysis Library uses tables as the data interface. Three types of tables are used for

each PAL function:

• Input data table – supplies input data to PAL functions. Each function can have one or more input data

tables.

• Parameter table – supplies parameters to PAL functions. Parameters are special inputs that control what

the functions do. Each function has only one parameter table.

• Output data table – holds the output results calculated by PAL functions. Each function can have one or

more output data tables.



Table Type Definition

Data Preparation

PAL Interface Generation

PAL Interface Invocation

Tra

inin

g P

hase


Data Preparation



Testin

g/P

redic

tivP

hase

Training Data SetTesting Data Set

Control ParameterControl Parameter

Model

Predictive Result

Data Interface Input

Data Interface Output




• Training Data Set

• Validation Data Set

• Parameter Data


• Generate Store Procedure

Data Preparation

• Input Table Type

• Parameter Table Type

• Output Table Type


• Call Store Procedure

CREATE TYPE PAL_CART_DATA_T AS TABLE

CREATE TYPE PAL_CART_TREEMODEL_T AS TABLE

CREATE TYPE PAL_CONTROL_T AS TABLE

INSERT INTO PAL_CART_PDATA_TBL VALUES (1, 'COIL.PAL_CART_DATA_T', 'in');

INSERT INTO PAL_CART_PDATA_TBL VALUES (2, 'COIL.PAL_CONTROL_T', 'in');

INSERT INTO PAL_CART_PDATA_TBL VALUES (3, 'COIL.PAL_CART_TREEMODEL_T', 'out');

INSERT INTO PAL_CART_PDATA_TBL VALUES (4, 'COIL.PAL_CART_STATISTIC_T', 'out');

call "SYSTEM".afl_wrapper_generator('PAL_CART_PROC', 'AFLPAL', 'CART', PAL_CART_PDATA_TBL);

INSERT INTO #PAL_CONTROL_TBL VALUES ('THREAD_NUMBER', 2, null, null);

INSERT INTO #PAL_CONTROL_TBL VALUES ('IS_SPLIT_MODEL', 1, null, null);

INSERT INTO #PAL_CONTROL_TBL VALUES ('PMML_EXPORT', 0, null, null);

CALL "_SYS_AFL".PAL_CART_PROC(TICDATA2000, #PAL_CONTROL_TBL, PAL_CART_TREEMODEL_TBL,

PAL_CART_STATISTIC_TBL) with OVERVIEW;

Working with Application Function

Modeler(AFM)


Application Function Modeler

- Overview

▪ A graphical editor to facilitate a faster and easier design-time process of creating the wrapper-procedures

▪ AFL Models are stored as repository objects and can easily be re-used as part of development workflow

Library Selection

Algorithm Selection

Parameters for table types


Using Application Function Modeler

- Setting Input Table Format



- Setting Algorithm Parameters



- Setting Output Table Formats

Exercise

- Background


Scenario

To identify potential

customer for buying

caravan policy

HANA Predict Analysis Sending Email

*Screenshots shown are for demonstration purposes only and are not final product commitments

Potential Customer<Education>

<Age>

<Married>

<Job>

<Children>

<Income>

<Own policy#>

<Other 70 attributes>

<Caravan Policy>

Customer Records


Data for Insurance Case

▪ The data contains two data files. The first data file features the actual dataset: this dataset contains 5822

customer records of which 348, about 6%, had caravan policies.

▪ Each record consists of 86 attributes, containing sociodemographic data (attribute 1-43) and product ownership

(attributes 44-86). Attribute 86, "CARAVAN: Number of mobile home policies", is the target variable.

▪ The test or validation set contained information on 4000 customers randomly drawn from the same population.

Training

Sample

1: 348 0: 5474

Testing

Sample

1: 238 0: 3762

Exercise 1

- Caravan Insurance Policy Prediction with PAL


Exercise in a Nutshell

➢ I. Training Part

1. Training Sample Data preparation.

2. Table Types preparation.

3. Store Procedure generation.

4. Create Column Table to store data.

5. Invoke Store Procedure.

6. Visualize the predict statistic result.



1. Prepare Testing Sample Data.

2. Prepare Table Types.

3. Generate Store Procedure.

4. Create Column Table to store data.

5. Invoke Store Procedure.


➢ II. Testing Part

Exercise 2

- Caravan Insurance Policy Prediction with AFM



➢ I. Training Part

1. Create XS Project.

2. Create Flowgraph Model.

3. Predict Model Design and

Configuration.




➢ II. Testing Part

1. Create Flowgraph Model.

2. Predict Model Design and

Configuration.



Course Summary


✓ Using PAL with SQL Script for predict analysis

✓ Using AFM with graphical editor for predict analysis

Thank you.

PUBLIC


Lecture: Case Studies 1HANA Innovation Show Case 1 – Text Analysis


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Overview: Text on SAP HANA Platform

▪ Search

▪ Text Analysis

▪ Text Mining

▪ Implement and Customization

▪ Show Cases

Agenda


Course Goals


• Get an overview of Background of Text Analysis in SAP HANA

• Understand Search in HANA

• Understand Text Analysis in HANA

• Understand Text Mining in HANA

• Apply Text Analysis in HANA

• Understand Customization and Dictionary.


Recap: SAP HANA is much more than just a Database

Overview: Text on SAP HANA Platform


Background

SAP’s text analysis technology

1997

Inxight spun off from PARC, a Xerox company

Finite-state technology for modeling natural language

2007

Inxight acquired by Business Objects

Integration of text analysis technology into BI applications

2008

Business Objects acquired by SAP

Text analysis technology continues to focus on BI applications

2012

First integration into SAP HANA

Foundation for full-text search, BI, and sentiment analysis applications

Today

Text analysis in SAP HANA

Foundation for virtually any type of unstructured textual data processing on the platform


Background

Why does SAP HANA provide text analysis functionality? (1/2)

Massive amounts of unstructured data are being Enterprise Challengescaptured in operational, CRM, maintenance,

engineering, R&D, and call center systems, as well as

social media, blogs, forums, e-mails, documents,...

Companies are struggling to:

Search on unstructured text-related content

Extract meaningful, structured information from unstructured text

Combine unstructured with structured data

Leverage data in real time to gauge and guide their business

strategy and solve critical problems


Capabilities

Native full-text and fuzzy search

In-database text analytics

Graphical modeling of search models

Info Access – HTML5 UI toolkit and API for JavaScript

Benefits

Less data duplication and movement – leverage one

infrastructure for analytical and search workloads

Extract salient information from unstructured textual data

Easy-to-use modeling tools – SAP HANA studio

Build search applications quickly – Info Access

Background

Why does SAP HANA provide text analysis functionality? (2/2)


Which types of text processing capabilities are supported?

Search

In addition to string matching, SAP HANA features full-text

search, which works on content

stored in tables or exposed via

views. Just like searching on the

Internet, full-text search

finds terms irrespective of the

sequence of characters and

words.

Text mining

Text mining makes semantic determinations about the overall

content of documents relative to

other documents. Capabilities

include key term identification

and document categorization.

Text mining is complementary to

text analysis.

Text analysis

Capabilities range from basic tokenization and stemming to

more complex semantic

analysis in the form of entity

and fact extraction. Text analysis applies within individual

documents and is the

foundation for both full-text search and text mining.

Background

Search


Search

In addition to string matching, SAP HANA features full-text

search, which works on content

stored in tables or exposed via

views. Just like searching on the




words.

Text mining







text analysis.

Text analysis







Search


Search

Available Languages

Arabic Indonesian

Catalan Japanese

Chinese (Simplified) Korean

Chinese (Traditional) Norwegian (Bokmal)

Croatian Norwegian (Nynorsk)

Czech Polish

Danish Portuguese

Dutch Romanian

English Russian

Farsi Serbian

French Slovak

German Slovenian

Greek Spanish

Hebrew Swedish

Hungarian Thai

Italian Turkish

A full-text index – required for Google-like searches

– is defined on a table column.

A fuzzy search - Find database content similar to the search terms or with typosSearch with incomplete termsSubstitute with synonyms (term mapping)Prevent duplicates


Search

The following steps are executed on unstructured text :

File format filtering

Converts any binary document format to text/HTML

Language detection

Identifies language to apply appropriate tokenization

and stemming

Tokenization

Decomposes word sequencesE.g. “card-based payment systems” “card” “based” “payment”

“systems”

Stemming

Normalizes tokens to linguistic base formE.g. houses house; ran run

Full-text index ‘Attaches’ to the table column

Text Analysis


“Rabbit Hole” is based on the play by David Lindsay-

Abaire, who also adapted it for the screen. The play

received a positive review when it premiered at

Manhattan Theater Club in 2006 and caught the

attention of Ms. Kidman and her producing partner, Per

Saari, who decided to option it.

Ms. Kidman and Mr. Eckhart shared some thoughts

about the new film and the process of working with their

director, John Cameron Mitchell.







text analysis.

Text miningSearch

In addition to string matching, HANA features full-text search

which works on content stored

in tables or exposed via views. Just like searching on the




words.

Text analysis







Nicole Kidman, Aaron Eckhart and ‘Rabbit Hole’

By MEKADO MURPHY

Dan Steinberg/ Associated Press

Aaron Eckhart and Nicole Kidman at the Toronto

International Film Festival

TORONTO — Nicole Kidman returns to Toronto, this

time in the role of both actor and producer for her latest

project, “Rabbit Hole.” The film, in which she co-stars

with Aaron Eckhart, looks at a suburban married couple

who experience a tremendous loss.

Nicole Kidman PERSON

Aaron Eckhart PERSON

MEKADO MURPHY PERSON

Dan Steinberg PERSON

Associated Press ORGANIZATION

TORONTO CITY

Nicole Kidman PERSON

Toronto CITY

David Lindsay-Abaire PERSON

Manhattan Theater Club PLACE

2006 YEAR

Ms. Kidman PERSON

Per Saari PERSON

Ms. Kidman PERSON

Mr. Eckhart PERSON

John Cameron Mitchell PERSON

… …

Text Analysis


Text Analysis

An option to the full-text index (1/3)

Text analysis is defined on a table column.

It is bound to full-text indexing –pre-processing steps are shared.

Results are stored in a table.

During pre-processing, a full-text index is created which is ‘attached’as a shadow column to the indexed table column. This index can be

accessed only indirectly, when a full-text search is performed.

In contrast, the results of text analysis are stored in the table $TA_<index_name>.

SAP HANA

Text analysisSource tableresults table

Fu

ll-tex

t ind

ex

Full-text indexing with text analysis


SAP HANA

Source table

Full-text indexing with text analysis

Fu

ll-text in

dex

Text analysisresults table


Language detection

Tokenization

Stemming

Part-of-Speech

Noun groups

Entity extraction

Fact extraction


Language detection

Tokenization

Stemming

Part-of-speech

Noun groups

Entity extraction

Fact extraction

Text Analysis



Text Analysis


The following steps may be executed on unstructured text to augment

full-text indexing:

Part-of-Speech

Tags word categoriesExamples: quick: Adj; houses: Nn-Pl

Noun groups

Identifies conceptsExamples: text data; global piracy

Entity extraction

Classifies pre-defined entity typesExamples: Winston Churchill: PERSON; U.K.: COUNTRY;

Fact extraction

Relates entities – e.g., classifies sentiments with topicsExample: I love SAP HANA:

[Sentiment] I [StrongPositiveSentiment] love

[/StrongPositiveSentiment]

[Topic] SAP HANA [/Topic].[/Sentiment]


Entity and fact extraction

Text analysis gives ‘structure’ to two sorts of elements fromunstructured text:

Entities:

John Lennon was one of the Beatles.

<PERSON>John Lennon</PERSON> was one of the <ORGANIZATION@ENTERTAINMENT>Beatles</ORGANIZATION@ENTE

RTAINMENT>.

Facts:

I love your product.

I<STRONGPOSITIVESENTIMENT>love</STRONGPOSITIVES

ENTIMENT> <TOPIC>your product</TOPIC>.

Text Analysis


Named entity recognition (NER) seeks to locate and classify atomic

elements in text into predefined categories such as the names of

persons, organizations, locations, expressions of times, quantities,

monetary values, percentages, etc.

NER systems take an unannotated block of text:

Jim bought 300 shares of Acme Corp. in 2006.

And produces an annotated block of text:

<PERSON>Jim</PERSON> bought <QUANTITY>300</QUANTITY> shares of

<ORGANIZATION>Acme Corp.</ORGANIZATION> in <DATE>2006</DATE>.

-- Wikipedia

Text Analysis

Entity extraction = named entity recognition


How entity extraction works

Built-in entity extraction is not keyword search.

Text analysis applies full linguistic and statistical

techniques (i.e. natural language processing) to make

sure the entities that get returned are correct.

Grammatical Parsing:

Can we bill you?

Bill Smith was the president.

Semantic Disambiguation:

I talked to Bill yesterday. The bill was signed into law.

Text Analysis


Who: People, job title, and national identification numbers

What: Companies, organizations, financial indexes, and products

When: Dates, days, holidays, months, years, times, and time periods

Where: Addresses, cities, states, countries, facilities, Internet

addresses, and phone numbers

How much: Currencies and units of measure

Generic concepts: text data, global piracy, and so on

Supported types for entity extraction

Languages:

Arabic, English, Dutch, Farsi, French, German, Italian, Japanese, Korean, Portuguese, Russian,

Simplified Chinese, Spanish, Traditional Chinese

Text Analysis


Fact extraction is built on top of entity

extraction and realized through rules that look for

facts – relations between entities or states involving

an entity.

Relationships:

Greek officials are planning to submit a proposal to eurozone finance ministers.

States:

The World Trade Center station is a transportation station in Boston,

Massachusetts, on the MBTA’s bus rapid

transit Silver Line.

Text AnalysisFact extraction


Voice of customer

Sentiments: strong positive, weak positive, neutral, weak negative, strong negative, and problems

Requests: general and contact info

Emoticons: strong positive, weak positive, weak negative, strong negative

Profanity: ambiguous and unambiguous

*Emoticons and profanity only

Supported fact extraction (1/2)

Languages:

English, Dutch*, French, German, Italian, Portuguese, Russian, Simplified Chinese, Spanish,

Traditional Chinese

Text Analysis


Enterprise

Membership information

Management changes

Product releases

Mergers & acquisitions

Organizational information

Public Sector

Action & travel events

Military units

Person alias, appearance, attributes, relationships

Spatial references

Domain-specific entities

Language:

English

Language:

English

Supported fact extraction (2/2)

Text Analysis

Text Mining


Search

▪ In addition to string matching,

HANA features full-text

search which works on

content stored in tables or

exposed via views. Just like

searching on the Internet, full-

text search finds terms

irrespective of the sequence

of characters and words.

Text analysis

▪ Capabilities range from basic

tokenization and stemming to



and fact extraction. Text

analysis applies within

individual documents and is

the foundation for both full-text

search and text mining.

At Dresden Semperoper, a New Take on ‘Tristan and

Isolde’

By ROSLYN SULCAS February 17, 2015

DRESDEN, Germany — David Dawson’s new “Tristan

and Isolde” for the Dresden Semperoper Ballett raises

interesting questions about the full-length story ballet, a

genre much-loved by audiences and seldom tackled by

choreographers today.

It’s surprising that the Tristan and Isolde story, a

medieval Celtic tale that has long figured in literature,

film and in Wagner’s opera of the same name, has been

so infrequently used by ballet. Like “Romeo and Juliet,” it

has instant attraction and union between lovers from

opposing camps, with society and history against them,

and tragic death at its end. You can imagine what John

Cranko or Kenneth MacMillan, who brought the big, all-

guns-blazing story ballets like “Manon” and “Eugene

Onegin” to the world in the 1960s and 1970s (ballet box

offices are still thanking them), might have done with it.

Category Classical_Music

Key terms Semperoper, Wagner, ballet,

John Cranko, Royal Ballet School …

Vodafone Turns Focus to Broadband, Seeking to Catch

Up to Rivals

By MARK SCOTT February 16, 2015

As consumers change the way they use their

smartphones, surf the web and watch television,

Vodafone is finding itself in need of a face-lift. After

years of focusing heavily on its cellphone business,

Vodafone, based in Britain and the world’s second-

largest mobile operator behind China Mobile based on

subscribers, is concentrating on high-speed broadband.

Once, Europeans were happy to pay for separate

cellphone, cable and pay-TV services. Now, they prefer

them bundled into a single package that streams content

to any device — a smartphone, tablet or Internet-

connected television.

Regional rivals like Orange of France and Deutsche

Telekom of Germany have moved quickly to offer …

Category Telecommunications

Key terms Vodafone, broadband, cellphone business,

Orange, Deutsche Telekom, …

Text mining







text analysis.

Text Mining


Text mining works at the document level – making semantic determinations about the overall

content of documents relative to other documents. This differs from text analysis, which does

linguistic analysis and extracts information embedded within each document.

Functions based on vector space model

Identify similar documents

Identify key terms of a document

Identify related terms

Categorize new documents based on a training corpus

Scenarios

Highlight the key terms when viewing a patent document

Identify similar incidents for faster problem solving

Categorize new scientific papers along a hierarchy of topics

Text Mining


The text mining index is an optional data structure that is built from the

results of text analysis.

It is bound to the full-text indexing

and text analysis process.

Fu

ll-text in

dex

Text

analysis

results

table

Full-text

indexing with

TA and TM

Text mining

index

TM config.

Insert

ID TITLE

Text MiningText Mining Index


SAP HANA

SAP HANA architecture

Apps on SAP HANA

Applications on any

platform using SQL via ODBC/JDBC

Store

Tables

Engines

Search Text Mining

SQL

SAP HANA Apps

Applications running

natively on / against SAP HANA database

Preprocessor

Linguistic

processing

Entity & fact

extraction

Metadata

Model

Studio

Modeler,

dev.

workbench

Extended Application Services (XS)

TA & TM APIs OData

Implement and Customization


Implement Example

Steps to use text analysis in HANA(1/6)

CREATE COLUMN TABLE “PRESS_RELEASES” (

“File_Name” NVARCHAR(20),

“File_Content” BLOB ST_MEMORY_LOB,

PRIMARY KEY (“File_Name”));

• First of all, create a simple table to store a number of PDF files that contain

information from the aviation industry in the US.

• Load unstructured data into the table.


• Create a full text index called “PDF_FTI” on the BLOB column “File_Content” of

table “PRESS_RELEASES”.

Create FullText Index “PDF_FTI” On “PRESS_RELEASES”(“File_Content”)

TEXT ANALYSIS ON

CONFIGURATION ‘EXTRACTION_CORE’;

• Turn text Analysis on use the configuration called ‘EXTRACTION_CORE’.

• Refer to the SAP HANA Developer Guide for the different configuration.

Implement Example



• With the execution of SQL statement, a new column table is created called

$TA_PDF_FTI ($TA_<Index_Name>) that contains the result of the Text Analysis

Process.

Implement Example



• Structure of the result table:

Column Name Description

File_Name Primary key of the table.

RULE Stores the rule package that yielded the token.

In this case: “Entity Extraction”

COUNTER Counts all tokens across the document

TOKEN The token that was extracted (the “who”, “what”,

“where”, “when” and “how much”)

LANGUAGE You can either specify a language column when

you create the fulltext index or it can be derived

from the text. In this case it was derived from

the text and is English (en)

Implement Example



• Structure of the result table:

TYPE The Token Type, whether it is a “who”, a “what”, a

“where”, etc.

NORMALIZED Stores a normalized representation of the token

STEM Stores the linguistic stemming information, e.g. the

singular nominative for nouns, or the indicative for

verbs. If text analysis yields several stems, only the

first stem will be stored, assuming this to be the best

match.

PARAGRAPH The paragraph number where my token is located in

the document

SENTENCE The sentence number where my token is located in

the document

CREATED_AT Creation timestamp

Implement Example



• Pretend you work in an airline, for example Delta Air Lines, and you would like to know whether the

company you work for is mentioned in any of the press releases.

• You can easily find the answer by filtering the column TYPE = ‘ORGANIZATION/COMMERCIAL’ and

TOKEN = ‘Delta Air Lines’.

• As you can see in the screenshot below Delta Air Lines is mentioned twice in the bts201001.pdf file

(paragraphs 9 and 151), twice in bts201002.pdf (paragraphs 9 and 136) and so on.

Implement Example



Dictionaries

What are dictionaries and why do you use them?

In the context of extraction, dictionaries are user-defined

repositories of entities.

Dictionaries are used for customized information about the entities your application must find.

Dictionaries can be used to store name variations in a structured way that is accessible through the extraction process.

Dictionaries are language-independent*. This means that the same entries are matched in documents of different languages.

Dictionaries are more performant than CGUL rules.

You can use several dictionaries together or combine several entity categories in one dictionary.

* If its name is not prefixed with the name of a language (<language>-), in which case it will only work for that language


Dictionaries

For which languages are dictionaries available?

Advanced language modules- Tokenization

- Stemming

- Part-of-speech tagging

- Predefined entities

English

Arabic

Chinese (simplified)Chinese (traditional)

Dutch

FarsiFrench

German

Italian

Japanese

KoreanPortuguese

Russian

Spanish

Standard language modules- Tokenization

- Stemming

- Part-of-speech tagging

CatalanCroatian

Czech

Danish

Hebrew

Hungarian

IndonesianNorwegian Bokmål

Norwegian Nynorsk

Polish

Romanian

Serbian (Cyrillic)

Serbian (Latin)Slovak

Slovenian

Swedish

Thai

Turkish

Basic language modules- Tokenization

- Stemming

Greek

Dictionaries can be created for all 32 text analysis languages:


Dictionaries

Workflow when using dictionaries

1 Create a dictionary following XMLsyntax

<?xml version="1.0" encoding="UTF-8" ?>

<dictionary xmlns="http://www.sap.com/ta/4.0">

<entity_category name=“SPORTS_EVENTS">

<entity_name standard_form=“World Cup 2014">

<variant name=“Brazil 2014"/>

</entity_name>

</entity_category>

...

</dictionary>

2 Activate the dictionary If no errors are found, the dictionary is compiled

3 Include name of new dictionary in

custom text analysis configuration file

A single text analysis configuration will normally include multiple dictionaries and extraction rule sets

4 Test the dictionary Brazil 2014 captured the world’s attention.

“Brazil 2014“ SPORTS_EVENTS

http://www.sap.com/ta/4.0

Show Cases- Twitter Adapter

- Fans Mining


HANA EIM Twitter AdapterIntroduction

• HANA EIM Smart Data Integration provides

adapters to access source data, provision

data, replicate data, and transform data in

SAP HANA on-premise or in the cloud.

• With Twitter Adapter, we can easily retrieve

tweets data and perform further Text Analysis

in HANA.

Show Cases- Twitter Adapter

- Fans Mining


Fans Mining


Course Summary


✓ Introduce Background of Text Analysis in SAP HANA

✓ Sketch out Search in HANA

✓ Sketch out Text Analysis in HANA

✓ Sketch out Text Mining in HANA

✓ Sketch out How to use Text Analysis in HANA

✓ Sketch out Customization and Dictionary

Thank you.

PUBLIC


Lecture: Case Studies 2HANA Innovation Show Case 2 – Big Data


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Facing Big Data

▪ Overview: SAP Big Data Solutions

▪ Technical Content of SAP Big Data

▪ Business Applications of SAP Big Data

Agenda


Course Goals


• Get an overview of Big Data

• Understand SAP HANA Data Solutions

• Get an overview of Technical Content of SAP Big Data

• Get an overview of Business Applications of SAP Big Data


Reap: HANA EIM Twitter AdapterIntroduction

• HANA EIM Smart Data Integration

provides adapters to access source

data, provision data, replicate data,

and transform data in SAP HANA

on-premise or in the cloud.

• With Twitter Adapter, we can easily

retrieve tweets data and perform

further Text Analysis in HANA.

Facing Big Data


What is Big Data?Age of Data has come

Lots of data is being

collected and

Warehoused.

Web data,

e-commerce

purchases at

Department,

grocery stores Bank,

Credit Card,

transactions Social

Network

…


Enterprise Application/System

Social Media

Log, Sensors

MobileCloud

Office Application,

Files

…refers to data sets whose size is beyond the

ability of typical database software tools to

capture, store, manage and analyze

What is Big Data?

http://www.windows7.cc/wp-content/office_365.jpg


© 2016 SAP SE or an SAP affiliate company. All rights reserved. Public 2

New types of data

Sentiment

Understand how your customers feel about

your brand and

products – right now

Unstructured

Understand patterns

in files across millions of web pages, emails,

and documents

Clickstream

Capture and analyze website visitors‘ data

trails and optimize

your website

Sensors

Discover patterns in data streaming

automatically from

remote sensor and

machines

Geographic

Analyze location-based data to manage

operations where they

occur

Server Logs

Research logs to diagnose process

failures and prevent

security breaches

What is Big Data?Common Types of Big Data


• Structured Data: Data with structure (can be represented by a table)

• Unstructured Data: text, video, audio, graphic….

What is Big Data?Structured Data & Unstructured Data


Roche Diagnostics

Living the healthier lives we dream about…

Objectives

Big Data: Digitizing Ourselves Stopping Diabetes in Its Tracks with Connected Care

Called Accu-ChekView, Roche’s new package

combines a blood glucose monitor, a wearable

fitness tracker, and an App developed by SAP

that are integrated together. Specifically targeted

to meet the individual needs of patients and

doctors, now a patient’s vital signs and blood

sugar level can be watched in relation to their

physical activity level, in real-time. The doctor can

monitor the patient remotely, and the patient can

communicate with the doctor’s office.


Big Data: Connected Cities Improving the quality of life

The city of Boston

Improving the quality of life with better city services

Objectives

Improve the quality of city services for Boston residents

Better align the city’s actions and resources to

established objectives

Ensure public transparency to the city’s performance

Better analytics, especially for the management of building permits and licensing

Use big data analytics to fight crime


Big Data: Connected Cities Safer, cleaner, and more productive

The city of Boston

Boston is safer, cleaner, and more productive

Results

55% less crime in targeted locations

Less then 10 overdue city permits, reduced from

over 600

66% reduction in calls regarding problem properties

2000 unique KPIs being delivered via mobile and online


Big Data: From Noise to True Market Signals Enabling early signal detection

BIG DATA REVEALS

MARKET PATTERNS

300 analysts Predict customer buying patterns

500 metrics analyzed By SAP HANA to select best

model 97% of the time

eBay

Enabling early signal detection

Objectives

Increase ability to separate signals from noiseto identify key changes to the health of eBay’s

marketplace

Improve predictability and forecast confidence of eBay’s virtual economy

Increase insights into deviations and their causes


Big Data: From Noise to True Market Signals Pinpointing market signals to connect sellers and buyers

eBay

Pinpointing market signals to connect sellers

and buyers

Results

Automated signal detection system that can automatically select the best model for metrics,

increasing the accuracy of forecasts

Reliable and scalable system that provides real-time

insights, allowing data analysts to focus on strategic tasks

Decision tree logic and flexibility to adjust scenarios, allowing eBay to adapt the best model for its data

Overview: SAP Big Data Solutions


SAP Big Data Solutions Needs and challenges

A A A

Acquire Analyze Act

Old DBMS

ComplexIT

Different varieties

Big Data

Enterprise applications

Documents

Sensors and machines

Social media

Videos

Images

Web blogs

Real Results Customer demand

Sentiment intelligence

Fraud detection

Predictive maintenance

Supply chain optimization

Data scientist

Employee access

Business operations


SAP Big Data Solutions The solution

HANA

A

A

A

Acquire

Data Connectors

ETL

Streaming Analytics

Advanced Analytics

Agile Visualization

Enterprise BI

Big Data Development

Tools

IndustryApps

LoB Apps

Data Science

Services

Big Data Apps

& Analytics

SAP HANA

Platform for

Big Data

&

&


Adoption made simple

Infrastructure optimized for Big Data processing

Access data from any other source

All data stores benefit from the in-memory performance

Ensure simpler iteration of application-specific models

SAP HANA In-Memory / Text Analysis /

Predictive

SAP HANA Platform for Big Data

Advanced Analytics Mobile & Embedded

SAP HANA extended application services,data services, SAP ESP

information and real-time data movement

Inte

gra

ted

Modelin

g

an

dM

eta

da

ta

Handlin

g

Common Data Access

OData, JSON, Smart Data Access

SAP ESP

Stream Analytics SAP IQ

Near Line Store

Analytics / BI SAP Lumira

Cloud Apps HTML5/UI5 SAP Fiori Apps

SAP Business Suite Apps

Custom Apps

Hadoop

Mass Data Store

Inte

gra

ted

Syste

ms

Manag

em

enta

nd

Landscap

efo

rH

yb

rid a

nd

Clo

ud

SAP Big Data Solutions SAP HANA platform for Big Data


Make Big Data

insights actionable

via industry-specific,

business-focused

applications from SAP

Customer Value Intelligence

Audience Discovery

Account Intelligence

Fraud Management

Demand Signal Management

Social ContactIntelligence

Sentiment Intelligence

Predictive Maintenance

Responsive Manufacturing

SAP Big Data Solutions SAP industry and line-of-business applications


Top (PhD) level global science teams in Scottsdale, Walldorf, and Bucharest

Credibility attained by working with >100 customers and creating some of the most sophisticated use cases

Pioneers in demand science, with significant reusable IP and deep analytic competencies

– Insights and compliance

– Mathematical modeling, forecasting, simulation, and optimization

Experts in relevant SAP technology: SAP HANA, SAP BusinessObjects, SAP Predictive Analysis, visualization

Flexible delivery

SAP HANA

platform and beyond Data Science SAP BusinessObjects

SAP Predictive Analysis Dashboards

PAL and R & & integration

2

/(2 )( )f x

e(x )

22

SAP Big Data Solutions Data Science

Technical Content of SAP Big Data


Explore the world of Big Data

SAP HANA Predictive

Hadoop SAP Vora Machine Learning

The World of SAP Big Data


Predictive Analytics Process in SAP HANA


Apache™ Hadoop® is an open-source framework

for distributed storage and processing of very large

data sets on computer clusters from commodity

hardware

Used at Google, Yahoo, Facebook, eBay,

LinkedIn, startups, and Fortune 500 enterprises to

store and process petabytes of data on thousands

of servers

Hadoop components

Cluster of commodity servers

Distributed storage layer (Hadoop Distributed File

System, or HDFS)

Distributed processing infrastructure (MapReduce

programming model)

Hadoop Overview What is Hadoop?


Democratize

Data

Access

Make

Precision

Decisions

Simplify

Big Data

Ownership

SAP HANA Vora is an in-memory query engine that leverages

and extends the Apache Spark execution framework to provide

distributed computing at scale and deliver enriched interactive

Drilldowns on HDFSanalytics on Hadoop.

Mashup API

Enhancements

Compiled Queries

SAP HANA Spark

Controller

Open Programming

Hadoop/Spark Clusters

SAP HANA Vora Overview SAP HANA Vora – What’s inside and what does it do?


Machine LearningIntroduction

“A computer program is said to learn from

experience E with respect to some class of tasks T

and performance measure P if its performance at

tasks in T, as measured by P, improves with

experience E.”

—— Mitchell, T. (1997). Machine Learning, McGraw Hill

Artificial intelligence, machine learning, and

deep learning are often used interchangeably,

but they’re not the same. In a nutshell, AI is the

broader concept of machines that can act

intelligently. Machine learning and deep

learning are sub-sets of AI based on the idea

that given access to large volumes of data,

machines can learn for themselves.

Business Applications of SAP Big Data


Make Big Data

insights actionable

via industry-specific,

business-focused

applications from SAP

Customer Value Intelligence

Audience Discovery

Account Intelligence

Fraud Management

Demand Signal Management

Social ContactIntelligence

Sentiment Intelligence

Predictive Maintenance

Responsive Manufacturing

Big Data Apps & Analytics SAP industry and line-of-business applications


Application 1

“Our designers used to follow

their instinct in fashion

trends, and sometimes what

they came up with didn’t

meet market demands. It

resulted in massive stock”

-Lin Yuchun, president of Aimickey

Shoe Company in the Chinese city of

Chengdu, one of the four footwear

industrial clusters in China.


Application 2


Predictive Maintenance Based on SAP Predictive Analytics?

SAP Predictive Analytics is

A comprehensive, leading product offering from SAP

An advanced area of analytics designed to provide

more intelligent, more forward-looking (anticipatory), and more actionable analysis

SAP Predictive Analytics is designed to

Help companies make better decisions

Derive better insight and optimize customer

relationships

Make more meaningful and proactive sense of Big

Data

Answer difficult questions that business intelligence is

not equipped for


Predictive Maintenance In-memory predictive analytics with SAP HANA

Native predictive modeling libraries (APL and PAL)

for SAP HANA

Classification and regression analysis

Association analysis

Cluster analysis

Time series analysis

Outlier detection

Link prediction

Descriptive statistics

R integration

R script execution

SQL Engine Text Engine

Calculation Engine

In-Memory Processing Engine

APLR

PALScripts


Application 3


Application 4


Course Summary


✓ Introduce What is Big Data

✓ Sketch out SAP Big Data Solutions

✓ Introduce Technical Content of SAP Big Data

✓ Introduce Business Applications of SAP Big Data

Thank you.

PUBLIC


Lecture: The Digital CoreNext Generation ERP – S/4 HANA


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Introduction 20mins

▪ SAP S/4 HANA 70mins

▪ Real Customer Use Cases 15mins

▪ Summary 5mins

Agenda


Course Goals


• Get an overview of SAP Digital Core concept

• Understand key features of S/4 HANA

• Understand the comparison of traditional ERP and S/4HANA

• Understand the Enterprise Management Scope of S/4HANA

• Understand the components of S/4HANA


Recap of Previous Course (SAP HANA)

S/4HANA is using

HANA as the in-

memory database.

Introductionin the new digital and networked world


Digital Technologies are Here to Stay

The World is Changing QuicklyDigital Technologies are Everywhere

Mobile

Social

In-Memory

Computing

Machine

Learning

Cloud

Internet

of Things

Big Data

Hyper

Connectivity

Digitization of data and interactions increasing at an

exponential pace.

Mobile, Internet of Things and Hyper-connectivity

enabling immediate access to every “thing”

Cloud enabling digitization with commodity storage,

and on-demand computing at scale

In-Memory changing the speed of computing and

delivering the vision of real time

Big Data and Machine learning technologies

changing how data is being analyzed with predictive

analytics


SAP S/4HANAThe Digital Core - reimagines businesses for the digital economy

The entire value chain is digitized,

including the digital core that

serves as the foundation for business

innovation and optimization.

The digital enterprise interconnects

all aspects of the value chain to drive

and anticipate business outcomes

in real time.

Enterprises across industries can

lead the digital transformation by

completely reimagining business

models, business processes, and

work.

SAP S/4 HANA

- Why S/4 HANA

- S/4 HANA Enterprise Management

- Embedded Analytics & Innovation Highlights

- SAP Fiori


Comparing Traditional ERP to the Digital Core

Traditional ERP

Siloed Data

Partially connected

Reporting tool

Digital Core

Live Business

Unified data

in real time

Fully connected to

customers, suppliers

and workforce

Intelligent, predictive

tools based on

patterns and trends

35,000SAP customers already

have an ERP core

Covering

25 10 120

Lines of

Business

industries countries


SAP S/4HANAOur next-generation business suite

SAP S/4HANA Enterprise Management –

build the next-generation business suite

» Innovative in-memory database

» New architecture and data models

» Renewed applications

» New user interface (UI) technology

» Cloud and on-premise deployment models

» Natively integrated

SAP S/4HANA is a new product line (it is not a legal successor of any SAP Business Suite product).

The classical SAP Business Suite and SAP ERP software is a separate product line and will still be

available.

SAP Ariba l Concur I SAP Fieldglass I SAP Hybris I SAP SucessFactors

On Premise Cloud


SAP S/4HANA and SAP Business SuiteUnderstanding the difference

SAP S/4HANA

Compatibility

Scope

Cloud

Editions

SAP Business Suite

On-Premise

EHP7/8

ERP

SAP

S/4HANA

Finance

On-Premise

EHP7/8

SAP S/4HANA

Finance as

innovation package

Classical ERP on

any DB incl.

HANA

Compatibility

scope to support

migration

Cloud Qualities

also available On-

Premise

SAP S/4HANA

SAP HANA only

supplies

supplies

On-Premise

Relation between SAP ERP and SAP S/4HANA


SAP S/4HANAThe Big Picture

Modern Architecture New Design Smart Business

» People Centric

» Any Device

» Browser based

» Embedding Workflows

» Communication enabling

» Decision Support

» Robust and Scalable

» Simple Data Structures

» Speed on Primary Data

» Single source of truth

» Flexible consumption

» Non Disruptive Journey

» Built for Scalability

» Automation & IoT

» Cockpits with Exception

based Worklists

» Embedded Analytics

» Simulation

» Prediction

Innovations

» Industry to core

» aATP

» PP/DS

» EWM

» FI-CA

» MDG

» QM

» …

+ + +


SAP S/4HANANext-generation business suite

Feature and function parity to

SAP ERP Central Component

(SAP ECC) 6.0x plus:

» Major innovations in core

features like finance and

logistics

» Inclusion of additional

industries in the core

» Major simplificationshttps://help.sap.com/s4hana_op_1610

» Support for digital trends like

the Internet of Things,

business networks, and so on

Enterprise Management

Product lifecycle

management

Logistics execution

Materials management

Quality management

Sales and distribution

Finance

Logistics general

Plant maintenance Customer service

Production planning and

controlProject system

Environment, health,

and safety

Others: global trade

management

Th

e

Dig

ita

l

Co

re

Human resources

Included Features* Included Industries*

Core industries

• Chemicals

• Life sciences

• Wholesale and distribution

• High tech

• Mining

• Industrial machinery and

components

Core industries – adding

features and processes

• Automotive

• Industrial machinery and

components

• Aerospace and defense

• Mill products

• Retail

• Oil and gasNote: Not all features are

activated in the cloud edition.

* Does not reflect licensing

https://help.sap.com/s4hana_op_1610


SAP Digital Boardroom

• Total transparency

• Instant data-driven insights

• Simplified boardroom processes

Logistics

Finance

SAP HANA BW

Operations

HR

Etc

Sales

OTHER

SAP BusinessObjects Cloud

• Planning

• Business Intelligence

• Predictive

• Governance

Top Floor

SAP S/4HANA embedded analytics

• SAP Smart Business cockpits

• SAP Fiori analytical apps

• Predefined reports & visualizations

• Extensibility concept & toolsShop Floor

Fro

m t

op

flo

or

to s

ho

p f

loo

r

SAP S/4HANAFrom the top floor to the shop floor


Enter Material Order Choose best supplier

and complete material

order entry

Review Material Shortage

Select Supplier

Analytics and

Insights

Now All On

One Screen

Purchase Manager

Check

Budget

Overview

Review

Detail

Report

✓ Faster customer

delivery

✓ Larger average deal

size

✓ Fewer warehouse

stock outs

Check Average

Supplier

Delivery

Performance

Cro

ss

Sell

SAP S/4HANAContextual insights at the point of decision


SAP S/4HANATransformational simplifications

Reduce total cost of ownership Increase user productivityAccelerate execution

Simplified data model Simplified system landscape Simplified user experience

Classic SAP Business Suite

11 Inventory aggregate tables

2 Document aggregate tables

11History aggregate tables

2 Material master tables

Role-based engagement

across the business

Instant access to any

business insight

Simple design across

business processes

SAP GUI SAP Fiori UX Delta

Duration

(seconds)

132 47 - 64%

Clicks 39 11 - 71%

Screen changes 8 2 - 75%

Fields filled 5 2 - 60%

Example: SAP S/4HANA Finance -

receivables management

Reduced number of systems

and business warehouses

Flexible access to data and

data compression

Fewer interfaces between

systems

Example: SAP S/4HANA Supply

Chain* – inventory management

Elimination of aggregates

SAP S/4HANA

1 Document table

2 Material master tables

Simplification of master data

Unification of tables

Example: Reduced Data

Footprint**

** SAP Benchmarking Services

26 3

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SAP S/4HANAData footprint reduction

Database Footprint

Reduction in

SAP Finance

on HANA S/4HANA ActualTraditional DB

593 GB

118.6 GB

42.4 GB

8.4 GB

Replace totals with on-the-fly aggregation.

Replace secondary indices with dynamic

projection and selection.

Data Aging

5 fiscal years in the

system, 1 year aging

frequency

Compression in

columnar storage


SAP S/4HANAKey Benefits of Technology

Discover and respond to

future opportunities and

challenges

Real Time

Predictions

Eliminate batch processing,

data reconciliation

Analyze at any level

without exporting data

SimulationExplore the impact of

business decisions on

outcomes

Built-in data driven

decision support systems

Responsive Improve user satisfaction

by reducing wait time

Drilldowns

Recommen-

dations


SAP S/4HANAKey Take Aways

Instant, real-time insight for better decisions

– in-memory technology

– embedded analytics

Reinvented processes for higher performance

– maximized throughput and speed

– native integration to SAP solutions

FIORI user experience for higher productivity

– intuitive on all devices, mobile first

– proactive decision-making support

THE NEXT GENERATION BUSINESS SUITE FOR A

DIGITAL WORLD.

Simplified Architecture for lower TCO

– lean data footprint

– cloud deployment for higher flexibility

SAP S/4 HANA

- Why S/4 HANA



- SAP Fiori


SAP S/4HANA: Enterprise ManagementComplete

Cost management

and profitability

analysis

Supplier

management

Invoice and

payables

management

Inventory and

basic warehouse

management

Collaborative

sourcing and

contract

Operational

purchasing

Accelerated

plan to productProduction

engineering

Production

planning

Project control and

product

development

Production

operations

Quality

management

Inventory and

basic warehouse

management

HR

connectivityTime

recording

Core finance

Enhanced

request to

service

Optimized

order to cash

Streamlined

procure to pay

Accounting and

closing operations

Service

management

Service parts

management

Service master

data management

Inventory and

basic warehouse

management

Receivables

processing

Order and contract

management

Service agreement

management

Maintenance

management

Procurement

analytics

160countries

38languages

25industries


SAP S/4HANA 1610Shipment Scope

SAP S/4HANA MARKETING AND

COMMERCE

SAP S/4HANA HUMAN RESOURCES SAP S/4HANA MANUFACTURING SAP S/4HANA SUPPLY CHAIN

SAP S/4HANA SALES

SAP S/4HANA FINANCE

SAP S/4HANA SERVICE

SAP S/4HANA SOURCING &

PROCUREMENT

SAP S/4HANA ASSET MANAGEMENT

Digital Core Enterprise Management

SAP S/4HANA RESEARCH &

DEVELOPMENT

Products

Suite

Products

Suite

INDUSTRIES

• Supplier Collaboration

• Business Network

• Guided End-User Buying

• External Workforce Management

• Core Human Resources And Payroll

• Talent Mgmt.

• Time and Attendance Mgmt.

• Human Capital Analytics

• Asset Operations and Maintenance*

• Environment, Health, and Safety

• Enterprise Portfolio and Project Mgmt.

• Commercial Project Mgmt.

• Compliant Product Lifecycle Mgmt.*

• Service Mgmt. *

• Service Master Data Mgmt.*

• Service Parts Mgmt.

• Service Agreement Mgmt.*

• Maintenance Mgmt. • Product Development and Project

Control*

• Production Engineering

• Financial Planning and Analysis

• Accounting and Financial Close

• Treasury Mgmt.

• Receivables Mgmt.

• Invoice Mgmt. and Accounts Payable

• Accounting and Closing Operations

• Accounting

• Cost Mgmt. and Profitability

Analysis

• Time Recording• Operational Purchasing

• Collaborative Sourcing and Contract Mgmt.

• Invoice and Payables Mgmt.

• Supplier Management

• Procurement Analytics

• Production Operations

• Quality Mgmt.

• Inventory and Basic Warehouse

Mgmt.

• Production Planning

• Order and Contract Mgmt.

• Sales Planning and Performance

Mgmt. (ICM)• Billing and Revenue Innovation

Mgmt. (BRIM)

S/4HANA MarketingCloud for Sales

*(partial) Compatibility Scope

• Financial Services Network

• Extended Warehouse Mgmt.

• Advanced ATP

• Constrained production planning

• Production Scheduling

• Constrained production planning

• Planning and Scheduling


SAP S/4HANA Sales

ORDER AND CONTRACT

MANAGEMENTSolution Capabilities:

E2E Business Process:

Leverage simplified data

model and central

Business Partner

approach.

Create, modify, or display

sales documents with work

lists, manage sales

quotations, orders, credit

and debit memo requests.

Access documents quickly

Take immediate action

using real-time analytical

results to effectively

manage Sales Contracts

and Sales Quotations

Identify bottlenecks &

issues with resolution

proposals in the Sales

Order Fulfillment Cockpit

for maximizing “no-touch”

order rate. Leverage

worklists with smart links

to related documents and

transactions to streamline

the flow

Settle rebate flexibly using

Condition Contract

Settlement without any

index table.

Manage Billing Document

efficiently with seamless

integration to related

operational transactions

and use Intrastat

Processing for Foreign

Trade activities

Reduce customer service &

support cost by

automating and

streamlining return

processes

Monitor Order-to-Cash

Process Performance and

execute Sales Analysis on

the fly and display

contextual information, or

analyze your sales

quotation conversion

rate, or open sales orders

and deliveries and track

overall O2C performance

in your company

SALES

MASTER DATA

MGMT.

SALES

CONTRACT

MANAGEMENT

SALES ORDER

MGMT. &

PROCESSING

BILLING &

INVOICING

CLAIMS,

RETURNS &

REFUND MGMT.

SALES

MONITORING &

ANALYTICS

Innovation & Highlights:

Use new Condition

Contract Settlement

Analyze your Sales Order

Conversion RateClose Open Sales quickly

and improve overall

Performance

Manage Sales contracts in

just seconds

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SAP S/4HANA Supply Chain

Optimize your stock and inventory turnover and

material flow

Track inventory situation cross entities

and over-time to react as needed

PRODUCTION

PLANNINGSolution Capabilities:


GOODS ISSUEGOODS

RECEIPT

BASIC

WAREHOUSE

MGMT.

BASIC

SHIPPING

MATERIAL

REQUIREMENT

S PLANNING

BASIC ORDER

PROMISING /

ATP


Visualize & simulate MRP

options with fast insight to action

INVENTORY &

BASIC

WAREHOUSE

MGMT

Optimize the inventory and

material flows with analytical

apps, to include:

• Inventory turnover

analysis

• Flow analysis

Use simplified GI postings

• Transfer and scrapping

For complex movements

use MIGO with One Look

Leverage simplified data

model incl. 40 digit mat-no.

For real-time, high-volume

processing you can post

with finest granularity to

leverage sensor data.

Benefit from locking

elimination and material

ledger valuation.

Use simplified new apps for

• GR from PO

• Initial entry

Leverage embedded EWM

to perform standardized

inbound & outbound

processing with internal

movements and physical

inventory & reporting.

Leverage one system

(master data, customizing &

UX) for reduced data-

redundancy, lean processes

with fewer business docs

and overall simplification

Simplified apps for shipping

specialist:

Ability to search for

outbound deliveries and

returns deliveries via

object pages, including

details about header and

item data.

Optimize material flow for

external and internal

requirements (MRP) with

system-generated solution

proposals.

Manage and track change

requests for orders.

One single MRP if all

downstream materials are

advanced planning-

relevant.

Available to promise: new

ATP algorithm based on

HANA embedded in mass

component check in

production.

Improve percentage on-

time delivery.

Leverage just-in-time

scenarios for inbound and

outbound.

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Real-time alerts

based on

production

bottlenecks, such

as time or

component

delays and

resource

bottlenecks

Benefit from

single material

master

maintenance for

ERP and SCM

relevant materials

Synchronous

commit,

consistent data

Immediate error

handling

Manage the

subcontracting

process from

planning to

execution and

monitoring and

integrate your

Business

Network

Integrate

external

workforce into

Production

Execution,

manage time,

material

handovers

Benefit from a

simplified

processing in

repetitive

scenarios with

mass processing

and streamlined

financial controls

in periodic

actions

Run your

production in

many different

flavors to support

Kanban & Just-

in-time

sequencing for

Inbound and

Outbound

SAP S/4HANA Manufacturing

Monitor Production Orders in an

intuitive CockpitAnalyze & manage scrap during production

QUALITY

MANAGEMENTSolution Capabilities:


PRODUCTION

CONTROL

BASIC

PRODUCTION

EXECUTION

BASIC SUB-

CONTRACTIN

G

KANBAN & JIT

PROCESSING

QUALITY

ENGINEERING

QUALITY

INSPECTION


Track Quality inspections intuitively

PRODUCTION

OPERATIONS

Integrated &

simplified solution

combining QM

and QIM

capabilities

with new UX for

q-technicians, q-

engineers, q-

planners, q-

managers, q-

auditors, and

calibration

technicians

Perform quality

inspections

providing

inspection results

to enable timely

informed release

decisions and

therefore support

ensuring product

compliance and

quality

requirements

Increase your

quality results to

new levels with

better planning,

defection

recording and a

flexible and

harmonized

action

management, all

supporting

standardized

complaint

process

BASIC

EXTERNAL

PROCESSING

REPETITIVE

MANUFACTU

RING

QUALITY

IMPROVEMEN

T






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Allows employees to

search and request

goods / services in a

cross-catalog

search with a

consumer-grade

user experience.

Highly integrated

requesting process

into core S/4HANA

processes and

existing master data

Supports Indirect &

Direct Procurement

with high automation,

high system support,

and harmonized UI.

Includes dynamic

prefilling and

provisioning of fields

as well as templates

to minimize errors. A

standard integration

into Ariba Network is

provided natively

High percentage of

automation tasks,

and additional

supporting functions

for manual

processing like

proposals displaying

available sources of

supply to overall

increase efficiency

and speed of the

sourcing process

Give buyers access

to one, integrated

system for service

purchasing to

create, display,

change, and process

purchase orders.

Support automated

and manual

processes

INVOICE PROCESSING

& ACCOUNTS

PAYABLES

INVOICE PROCESSING

& ACCOUNTS

PAYABLES

INVOICE PROCESSING

& ACCOUNTS

PAYABLES

SAP S/4HANA Procurement

Use Self Service

Requisitioning and shop in 3

steps with 1 UI

INVOICE &

PAYABLES MGMT.

Solution Capabilities:


SELF SERVICE

REQUISITIONING


Next level of Procurement via

Procurement Overview Page

OPERATIONAL

PURCHASING

COLLABORATIVE

SOURCING &

CONTRACT

MGMT.

PURCHASE ORDER

PROCESSING &

COLLABORATION

REQUIREMENTS

PROCESSING

SERVICES

PURCHASING &

ENTRY

SOURCE

ASSIGNMENT

OPERATIONAL

CONTRACTI

MANAGEMENT

INVOICE

PROCESSING &

COLLABORATION &

ACCOUNTS

PAYABLES

CLASSIFICATION,

SEGMENTATION &

SUPPLIER

EVALUATION

SPEND VISIBILITY,

REALTIME

REPORTING &

MONITORING

With S/4HANA,

automated and

manual processes for

source assignment

to operational

demands, by using

source lists, purchase

information records

are supported

Monitor contracts in

contract work list

and get instant

information. Dynamic

search helps propose

possible values

already while typing

contract target

value or target

quantity updates

Classification and

Segmentation offers

logical grouping of

similar expenditure

items, such as

expenses for

advertising agency

services or IT

hardware into

Purchasing

Categories to

organize spend,

responsibilities, and

organizations

Purchasers gain role

based and quick

access to the

procurement

information they need

for analyzing

purchasing spend,

suppliers, and

contracts in real-

time

With Supplier

Invoice List and

Create Supplier

Invoice apps,

S/4HANA offers the

possibility to create

supplier invoices with

or w/o reference to a

purchase order, view,

and correct

inaccurate supplier

invoices directly . A

standard integration

into Ariba Network is

provided natively

Integrate your Business

Network

SUPPLIER

MGMT. &

PROCUREMENT

ANALYTICS













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SAP S/4HANA Research & Development

PRODUCT

ENGINEERINGSolution Capabilities:


PROJECT

FINANCIALS

CONTROL

PROJECT

LOGISTICS

CONTROL

PRODUCT

DEVELOPMENT

FOUNDATION

PRODUCTION

BOM

MANAGEMENT

RECIPE /

ROUTING

MANAGEMENT

INSPECTION

PLANNING

PROJECT

CONTROL &

PRODUCT

DEVELOPMENT

Define work breakdown

structures as basis for

hierarchical project

accounting. Plan costs

and budgets and track

actual costs tightly

integrated with core

business processes. To

monitor project progress

and financial performance

and enable you to avoid

cost overruns in time

Define project structures

comprising suitable work

breakdown and network

structures as basis for

project logistics planning

and execution. Use

simplified code and

optimized data model

in line with a simplified

authorization concept and

initial set of CDS views for

external consumption

Provide a product

innovation platform as

base to manage, translate,

and integrate innovations to

accelerate product design,

maintain discrete and

process manufacturing

design standards, and

communicate design/recipe

updates quickly. Use new

Embedded Software

Management

Provide a cost-effective

production BOM

management with

comprehensive functionality

and synchronize master

data and product

structures continuously.

Improve transfer of design

to manufacturing sites and

accelerate discrete or

process production ramp

up, time to volume, and

time to profit

Define the routing, recipe

the bill of material, and the

production version in

relation to one another to

accelerate discrete or

process manufacturing

production ramp-up, time to

volume and time to profit.

Synchronize master data

and recipes continuously

Develop a closed-loop

inspection planning in

compliance with industry

standards such as ISO/TS

16949 and ISO 9000.

Implement a risk-based yet

cost-effective product and

process design and use

failure mode and effects

analysis, as well as control

plans to recognize risks and

potential defects at an early

stage

Manage Engineering RecordsManage Product

Structures

Use new Software

Management

Confirm Network Activity










SAP S/4HANA Asset Management

Create Maintenance Orders

Create Measurement

Documents



MAINTENANCE PLANNING

& SCHEDULING

MAINTENANCE

EXECUTION


MAINTENANCE

MANAGEMENT

▪ Plan upcoming maintenance work and

find the right person who can use

appropriate tools and resources to

execute maintenance activities. Handle

unplanned work requests and

incomplete information, moving it to

planned maintenance status. Gain a full

view of asset status to mitigate

breakdowns. Reduce maintenance

costs, while synchronizing labor,

material, equipment, and schedules

▪ Manage proactively asset-related risks

to minimize disruption

▪ Finding the most efficient maintenance

strategy

so that:

▪ Assets are not over-maintained

▪ Risks are under control

▪ Value (performance vs. cost)

can be maximized

▪ Optimal asset maintenance involves

proactive - preventive or condition-based

- maintenance activities, which help

minimize equipment breakdowns. This

includes clear procedure development,

visible resource availability and access

to relevant information. On any device,

remote workers can access, transfer,

complete, and manage assigned work

orders. So asset managers and staff

increase equipment reliability and

improve asset usage as well as safer

maintenance processes

▪ Enable real-time insights of asset

performance for timely, relevant

decisions

▪ Review ongoing maintenance activities

with the ability to reschedule multiple

times a day

▪ Leverage process integration with

Predictive Maintenance and Service and

Asset Intelligence Network

Display Job List





SAP S/4HANA Core Finance

COST

MANAGEMENT &

PROFITABILITY

ANALYISSolution Capabilities:


ACCOUNTINGCLOSING

OPERATIONS

FINANCIAL

REPORTINGCOST

MANAGEMENT

PRODUCT

COST MGMT.

PROFITABILITY &

COST ANALYSIS


Use people centric posting cockpits for

quick overviews and fast item

processing

ACCOUNTING & CLOSING

OPERATIONS

Use one single source of

truth for instant insight into

profitability and all ledgers

and sub-ledgers, such as:

▪ Asset Accounting

▪ Inventory Accounting

▪ Accounts Payable

▪ Accounts Receivable

▪ Revenue & Cost

Accounting

Accelerate company close

through automation and

standardization.

Templates can be used

across multiple entities to

improve governance, share

best practices. Support

quick and efficient peer-to-

peer reconciliation of

intercompany balances and

invoices between group

subsidiaries

Reduce risk and cost of

real-time financial

reporting and

multidimensional data

analysis for accounting

standards with SAP

solutions. Drill down into

financial statements and

source applications such as

materials management or

sales and distribution

Gain a deep understanding

of the drivers of by

achieving a holistic view

for cost management. Get

complete, accurate, real-

time information to increase

operational efficiency and

overall profitability.

Minimize disruption to core

processing with role-based

access to massive amounts

of financial data and related

flexible financial objects

Calculate Cost of Goods

Manufactured (COGM) or

Cost of Goods Sold

(COGS) as broken down by

each step of the production,

project or service process

by integrating to other

SAP applications. So the

approach to Product Cost

Management can be

approached with high

flexibility per industry

Understand in detail the

costs & margins incurred

by your products in order

to successfully manage

your product portfolio. With

immediate, role-based

insight into current margin

and flexibility for ad hoc

reporting and analysis, your

business users have the

support they need to

optimize decisions

Use new Cockpits for AR & AP with

charts, notes and access to all docs

Monitor your production cost in a

powerful & intuitive UI


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SAP S/4HANA Human Resources



TIME SHEET

TIME

RECORDING

• Integrate HR information on

availability and actual working

times into logistical processes to

receive a holistic view on your

production cost and capacity

utilization. Leverage this HR data in

your financial reporting and

analysis for full transparency

• Best Practices available for the

technical enablement of SAP

S/4HANA to enable Employee

master data integration. It covers

the configuration required to store

employee and employee-related

data in SAP S/4HANA

** Additional Installation & License

S/4HANA Connectivity with SAP SuccessFactors**SAP seamlessly integrates the core SAP S/4HANA capabilities with SuccessFactors as

the recommended next generation Human Resources foundation for SAP S/4HANA.




SERVICES INITIATION

PLANNING &

SCHEDULING

SERVICE PARTS

WAREHOUSING &

FULFILLMENT

SERVICES INITIATION

PLANNING &

SCHEDULING

SERVICES INITIATION

PLANNING &

SCHEDULING

SERVICES INITIATION

PLANNING &

SCHEDULING

Provide precise

customer location and

installed-equipment

information to call

center, field service,

depot repair, and sales

staff. Maintain master

data required to perform

effective maintenance

on a piece of equipment.

Equipment Master

Record, Service-/

Maintenance Plan,

Measuring Point, Task

List, Bill of Materials

Service task lists

describes a sequence

of individual activities

to standardize recurring

work sequences and to

more effectively plan

with allocation required

resources, tools, and

materials. It helps to

reduce the service effort

when standardized work

sequences change, for

example as a result of

new legal regulations

Automatically

schedule service

commitments and

events based on time

and counter readings to

enable preventive and

predictive service

activities, based on time,

counter, condition or

risk. Prepare individual

service tasks and

allocate required

resources, tools, and

materials and plan

shutdowns

SAP S/4HANA ServicesSAP S/4HANA Enterprise Management Scope for 1610 Shipment

SERVICE PARTS

MANAGEMENT



TECHNICAL ASSETS,

STRUCTURE HISTORY

SERVICE

MASTER DATA

MANAGEMENT C

SERVICE

MANAGEMENT CSERVICE

AGREEMENT MGT

SERVICE TASK LISTS &

CATOGUES

SERVICE

MAINTENANCE PLAN &

EVENT SCHEDULING

SERVICES INITIATION

PLANNING &

SCHEDULING

SERICE EXECUTION,

DELIVERY &

FULFILLMENT

SERVICE BILLING,

SETTLEMENT,

RETURNS, REFUNDS

OPERATIONAL

CONTRACT &

WARRANTY MGMT.

The handling of service

agreements is common

across all industries. To

support all types of

commitments, you use:

• Service Contracts

(binding contracts) that

cover details about

content, scope, conditions,

and how the services will

be performed. Such

contracts can include

contractual billing.

Warranties to commit the

service provider to certain

services.

Facilitate the optimization

of spare part stock

processing according to

usage and availability.

Improve efficiency in

parts fulfillment,

planning, procurement

and warehousing with

integration into core

materials management

and finance functions as

well as support for

language and localization

requirements.

Tasks have to be

defined to resolve the

service issues. This

covers a portfolio of

options ranging from a

simple answer to a

support request or

delivering a complex

service where labor and

service parts resources

are required or it can

also include returns

processing

Deliver the service in the

most efficient manner

from planning,

scheduling, parts

provisioning, execution,

and billing. Field service

organizations need to

have access to up-to-

date information about

service history and

equipment

configuration to

provide the appropriate

service

Pull billing data from

various sources to

enable accurate, timely

billing of services and

tracking of service

revenue. Quickly

generate and track bills

and invoices for services

the company provides.

Billing can be

performed

automatically resulting

in high-quality decisions

that impact the bottom

line

C Compatibility Scope














Soft Financial Close AnytimeBusiness process view

Close batches Consolidation batches

Initial period Close & consolidation

Reporting on-demand

Close & consolidationInitial period

With SAP S/4HANA:

Real-time system with key performance

indicators (KPIs) instantly refreshed

Elimination of end-of-period batch bottlenecks

Continuous intercompany reconciliation

Continuous financial reporting visibility

Profitability analysis and line-item detail

reconciliation

Automation for routine tasks

Full management visibility of close tasks

With traditional system:

Close activities that don’t begin until period end

Multiple batch-run dependencies

Batch bottlenecks that delay downstream

activities

High error-correction efforts

Complex issues that are postponed until after

close

Time-pressured resolutions

Delayed visibility into reporting

Traditional system With SAP S/4HANA

User

interaction

Ad hoc

Traditional With SAP S/4HANA

Process excellence

User

interaction

Ad hoc


Efficient ProcurementBusiness process view

Traditional System – Buyer & Supplier Collaboration Reinvented Business Processes with SAP S/4HANA

With SAP S/4HANA:

Full transparency of process status per PO & INV line item

Real-time updates of business process information

Increased process efficiency for Buyers and Suppliers

Short cycle times

Opening up business opportunities for the company’s debit /

credit accounting

Data integrity of business information across systems

Direct exchange of business information


Loose collaboration between suppliers and buyers

Many manual interfaces

Error-prone processes

Inefficient collaboration due to limited transparency

Long cycle times

Difficult to identify new business opportunities

Cycle Time

Process excellence

x Waiting Time

End DateStart Date

1Purchase

Order

Purchase Order

confirmation

Goods

Receipt

InvoiceCC-Invoice

Remittance Advice Clearing

of

open

items

2

3

4

Traditional

Strategy

New

Strategy

Remittance Advice

Goods Receipt

Purchase Order Purchase Order

confirmation

Ship Notice

Invoice

Clearing of

open items

CC-Invoice

Invoice status

update

(Payment date)

Payment proposalAgree on Early

payment

Cycle Time

BUYER

SUPPLIER


Real Time Inventory ManagementBusiness process view

With SAP S/4HANA:

Real-time inventory information, including

early error detection

Precise where-used information per unit.

Ability to change lot size to “1,” thus capturing

the lowest level of granularity in inventory

stock keeping


Slow update cycle leads to outdated information

Inventory planning cannot accommodate flexible,

custom configurations

Limited inventory visibility increases error rate and

supply shortages

Safety stock

Time

Quantity

Reorder

point

Lea

d

time

Order 1

Order 2

Order 3

BOM 1

BOM 2

BOM 3

Run

inventory

updates

at night

Order 1

Order 2

Order 3

BOM 1

BOM 2

BOM 3

Ad hoc

actualization

Safety stock

Time

Quantity

Reor

der

point

Lea

d

time

Traditional system With SAP S/4HANA

User

interaction

Ad hoc

Traditional With SAP S/4HANA

Process excellence

User

interaction

Ad hoc

Business perspective

SAP S/4 HANA

- Why S/4 HANA



- SAP Fiori



Embedded Analytics

▪ Deliver contextualized analytics

for SAP S/4HANA embedded

within the context of work and

tailored to business needs and

roles

▪ Consist of Virtual Data Models

based on Core Data Service

(CDS) views covering role based

operational reports for lines of

business

▪ Come with tools for Business

Users, Power Users and

Developers to analyze data and

manage the lifecycle of reports

and KPIs

BUSINESS USERS POWER USERS

SAP S/4HANA

Virtual Data Models

QUERY

DESIGNER

SAP FIORI

KPI MODELER

ABAP

FOR ECLIPSE

DEVELOPERS

FRONT

END

BACK

END

Spend of

contract

Incoming Sales

Order ….PO Avg. Delivery

Time

Non-managed

purchasing spend

embedded analytics

SAP

SMART

BUSINESS

COCKPITS

QUERY/VIEW

BROWSER

MULTI-

DIMENSIONAL

REPORTS

ANALYTICAL

FIORI APPS


“Insight-to-action“ with SAP S/4HANA Embedded Analytics

OLTP

Traditional:

OLTP & OLAP Separate

>48 Hours10:00 AM 10:00 AM

OLTP + OLAP

in SAP HANA

10:00:00 AM 10:00:00 AMImmediate

Instant Insight to Action on Live Data

>48+hr Old Data

Aggregate

ETL

Multiple Data Sources

OLAP

Replication

Replication

Replication

Application 101010010101001001010011

0101101101110100100010011

101010010101001001010011

0101101101110100100010011

SAP S/4HANA

Decisions and Actions on Old Data

Multiple Data

Sources

tel:001001010011

tel:001001010011


Imagine if you had contextualized insights at your fingertipsProcurement: Material order entry

Enter material order

Check budget overview

Check average

supplier delivery

performance

Review detail report

Purchasing

manager

Choose best supplier

and

complete material

order entry

Start transaction

Complete transaction

All on one screen

✓ Faster customer delivery

✓ Larger average deal size

✓ Fewer warehouse stock outs

Analyze and predict


SAP S/4HANAReal time analytics architecture

AtomicPre-defined

Instantaneous

HANA Database Layer SQL-Runtime-Views on Physical Tables

ABAP Layer Virtual Data Model, based on Core Data Services (CDS)

Analytical Apps and BI

Clients

e.g. SAP BusinessObjects

SAP S/4HANA Application

Hybrid Transactional and

Analytical Applications

e.g. SAP Smart Business

KPI’s• Full ABAP Lifecycle Integration

• Supporting ERP authorizations

• Supporting ERP hierarchies

• Part of the general Extensibility concept

• Supporting more business cases

(analytics, search, fact sheets, planning,…)

• No latency

• No data duplication

• Ready-to-use content

• Integration scenarios with SAP BW

Analytical Engine*

*generating Transient BEx Queries

https://www.google.com/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&uact=8&ved=0CAcQjRw&url=https://blogs.saphana.com/2013/11/21/sap-smart-business-cockpits-a-battlefield-for-positive-outcomes/&ei=srAVVYqYPIOJ8QX864HwAg&bvm=bv.89381419,d.dGc&psig=AFQjCNFUO7cRTH__QnJtLn-uLZEFLJR47w&ust=1427571237214681


SAP S/4HANA 1610Innovation Highlights for Analytics

Process / Analytics Innovations

» Customer edit delivered KPIs

» Custom CDS view app

» View Browser to show all delivered CDS views

» Content so far:

» more than 8.900 views created

» 143 Embedded Analytical Applications (incl. KPI‘s) created

Integration highlights

» Smart Business and Analysis Path Framework Integration


Featured new and enhanced tools and functionality

View Browser

Custom CDS ViewKPI Modelling Apps

Query Builder

Analysis Path

Multidimensional

Reporting Client

https://dewdfgwd01083.wdf.sap.corp:5109/sap/bc/ui5_ui5/ui2/ushell/shells/abap/FioriLaunchpad.html#Shell-home


SAP S/4HANA embedded analytics + SAP BW on SAP HANA or SAP BW/4HANA Comprehensive operational + historical analytics and planning powered by SAP HANA

All analytics requirements fulfilled with one unified solution

Data Integration Scenarios are possible in multiple hybrid system setups

Strategic and tactical

Integration, harmonization,

cross-system consistency

Consumption

Planning Platform

Multi-sourced data

Preconfigured content

Data lifecycle

Data governance

Complete analytical suite

Operational data

Real-time

Lightweight modeling and

consumption

Extensible

Uniform

Basis for multiple embedded

use cases

Model reuse in analytical

applications

Lightweight planning solutions


Multi-channel Unified User Experience

SAP S/4HANA

(incl. Virtual Data Model)

SAP NetWeaver

New

SA

P A

pp

s

Part

ner

Ap

ps

SAP HANA PLATFORM

SA

P B

W

Database Services (include SAP HANA Views)

Synchronizations Services

Application Services

Additional positioning blog:

http://scn.sap.com/community/s4hana/blog/2016/04/07/

the-end-of-sap-business-warehouse-in-the-context-of-

sap-s4hana-is-not-in-sight

http://scn.sap.com/community/s4hana/blog/2016/04/07/the-end-of-sap-business-warehouse-in-the-context-of-sap-s4hana-is-not-in-sight

SAP S/4 HANA

- Why S/4 HANA



- SAP Fiori


SAP S/4HANA: What does it look like?SAP Fiori

Single entry point

Domain specific infos and actions

Enter details and explore in depth

The SAP Fiori launchpad will be the

single entry point to access all apps

Users quickly get an overview of what needs

their attention with Overview Pages, List

Reports, and Work Lists, can trigger quick

actions or drill down to the next level of detail

Key and differentiating use cases will be re-

imagined with the SAP Fiori user experience

All “classic” transactions will have the SAP Fiori

visual theme

Native iOS

mobile

experience for

high-impact

scenarios


SAP S/4HANA 1610Capabilities highlights for the user experience of SAP S/4HANA – SAP Fiori 2.0*

Integrated

Quality

Management

Industry to

Core

Portfolio and

Project

Management

Extended

Warehouse

Management

Production

planning and

detailed

scheduling

advanced

Available to

Promise

Embedded

Software in

Product

Development

Efficient

Procurement

Entire Finance

Scope in

SAP S/4HANA

The User

Experience of

SAP S/4HANA

Real time

Inventory

Management&

Material

Valuation

Accelerated

Material

Requirements

Planning

Effective

Order

Management &

Billing

Me Area Notification Area

** Some aspects shown are future direction

Workspace

User experience of SAP S/4HANA – SAP Fiori 2.0*** Does not reflect licensing


SAP Fiori analyticsConcepts and Designs

Analytical List PageOverview Page Object Page

» Light-weight analytical capabilities in context

» KPIs and data visualization as part of the business process

» Visual filtering and intuitive selection based on charts

» Reach-out from the transaction into powerful analytical tools

transferring available context Cloud for Analytics


SAP S/4HANAPrinciples & Elements of SAP FIORI Launchpad

Single Entry Point

for all User Activities

via Fiori Launchpad

- any device

Group tiles for

personalized

content organization

News and feeds to

enhance

collaboration

Realtime KPI’s with

color coding alerts user

for any overdue, new or

immediate actions

Dynamic charts to

provide high level,

real-time overview

Roles fully supported by

Backend authorizations

managed on Hana

Search across and

within apps to get

immediate answers

SAP Jam integrated to

provide instant

feedback on

notifications and group

activity


SAP Fiori apps reference library – “A Fiori app about Fiori apps”

– Repository of all released apps and their versions

– Contains app descriptions with screenshots

– Implementation details per app

– Aggregated view of selected apps regarding

▫ Installation requirements

▫ Configuration information

– Direct access to related resources:

documentation, Product Availability Matrix,

Innovation Discovery and Maintenance Planner

www.sap.com/fiori-apps-library

http://www.sap.com/fiori-apps-library


SAP Fiori implementationSelection of apps in SAP Fiori apps reference library

270

Real Customer Use Cases


Course OutlineSAP S/4HANA status before 1610 release on October 31st

333+Live Customers

4,100+Licensed Customers

1,470+Active Customer Projects

In all 25 industries & 77 countries


SAP S/4HANA 1610Country versions

Brazil

United States

Canada

Chile

Venezuela

Mexico

Peru

Argentina

Colombia

United Arab Emirates

France

Netherlands

Belgium

Great Britain

Germany

Luxembourg

Switzerland

Croatia Romania

Poland

Norway

Bulgaria

Austria

Greece

Denmark

Slovakia

Ukraine

Ireland

Italy

Israel

Turkey

Finland Lithuania

Spain

SwedenRussia

Portugal

Czech Rep

Estonia Latvia

Serbia

Hungary

Oman

Saudi Arabia

South AfricaEgypt

Qatar

Kuwait

Slovenia

Singapore

Philippines

South Korea

Taiwan

Thailand

Hong Kong

Malaysia

PR China

Australia

Japan

India

Kazakhstan

Indonesia

New Zealand


SAP S/4HANA – 5,800+ Customers*Reference examples per industry

MARKETING COMMERCE

HUMAN RESOURCES MANUFACTURING SUPPLY CHAIN

SALES

FINANCE

SERVICE

SOURCING & PROCUREMENT

ASSET MANAGEMENT RESEARCH & DEVELOPMENT

HIGHER EDUCATION & RESEARCH

SPORTS, MEDIA & ENTERTAINMENTDISCRETE MANUFACTURING MILL & MININGSERVICES

FINANCIAL SERVICES HEALTHCARE CONSUMERTELCO & UTILITIES

*as announced during SAP 2016 earnings on January 24, 2017

https://www.sap.com/documents/2015/04/5ce783eb-487c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2015/09/24835ceb-487c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/09/9e1bead9-8c7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/07/be5b4dc0-7e7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/08/8e0ddb03-867c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2014/06/e0a694a9-4a7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/07/d82e3f5d-807c-0010-82c7-eda71af511fa.html

http://www.uniorg.de/de/leistungen/sap-loesungen/sap-hana.html

https://www.sap.com/assetdetail/2016/08/68e21001-817c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2015/07/167dcf5a-397c-0010-82c7-eda71af511fa.html

https://www.sap.com/assetdetail/2016/12/e4176923-9b7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/06/7024e390-7a7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/09/a2f97e06-8a7c-0010-82c7-eda71af511fa.html

http://go.sap.com/documents/2016/08/a6755090-817c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/02/08949164-5f7c-0010-82c7-eda71af511fa.html

https://www.youtube.com/watch?v=wQxyPAFGgdY

https://www.sap.com/documents/2015/10/b2eac5a7-467c-0010-82c7-eda71af511fa.html

http://go.sap.com/documents/2016/05/c6e11457-6f7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/06/72402451-797c-0010-82c7-eda71af511fa.html

http://go.sap.com/documents/2016/07/4c7f01be-7a7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/01/8e093e9b-a37c-0010-82c7-eda71af511fa.html

https://www.sap.com/assetdetail/2016/06/2823fb7e-777c-0010-82c7-eda71af511fa.html

http://sapinsider.wispubs.com/Assets/Case-Studies/2016/August/IP-Broad-Green-Pictures-Produces-Oscar-Worthy-Financials-with-SAP-S4HANA

https://www.sap.com/documents/2016/01/7a191c0b-5a7c-0010-82c7-eda71af511fa.html

http://go.sap.com/documents/2016/11/ca6ed01c-947c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/10/3894b57a-907c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/02/2cd55a6d-aa7c-0010-82c7-eda71af511fa.html

http://www.sap.com/documents/2017/01/686e8f27-a07c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/02/8a0919d7-a97c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/12/300f5998-9d7c-0010-82c7-eda71af511fa.html

http://www.sap.com/documents/2016/12/baab1186-997c-0010-82c7-eda71af511fa.html

http://www.sap.com/documents/2016/12/52008023-9c7c-0010-82c7-eda71af511fa.html

http://go.sap.com/documents/2016/09/bcfe7f70-8c7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/12/febd5f87-997c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/01/e21c1bd0-a27c-0010-82c7-eda71af511fa.html

http://www.sap.com/documents/2016/10/100774dd-8d7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/12/a4bc9599-9d7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/02/dc6ba232-a77c-0010-82c7-eda71af511fa.html

http://go.sap.com/documents/2016/09/263023d6-887c-0010-82c7-eda71af511fa.html

http://www.sap.com/documents/2017/01/e68c23fc-9f7c-0010-82c7-eda71af511fa.html

http://go.sap.com/assetdetail/2016/10/44d16b4b-8e7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/01/52dd9304-a27c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/01/3022155d-a07c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/02/bc344dd8-a87c-0010-82c7-eda71af511fa.html

http://go.sap.com/documents/2016/12/200de4be-997c-0010-82c7-eda71af511fa.html

https://youtu.be/fjHaAqPj5nU

http://www.sap.com/documents/2016/12/c4520024-9d7c-0010-82c7-eda71af511fa.html

https://www.sap.com/assetdetail/2016/12/7899635a-9a7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/09/34978d69-897c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/03/40162a45-687c-0010-82c7-eda71af511fa.html

http://go.sap.com/documents/2016/05/ee47bd45-727c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2015/06/520dd642-4c7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/04/1e8fdb69-687c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/02/aa65b19e-aa7c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/06/3c191c20-797c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2016/04/8eaafbf6-6b7c-0010-82c7-eda71af511fa.html

Summary


Course Summary


✓ Introduce SAP Digital Core concept

✓ Introduce key features of S/4 HANA

✓ Introduce the comparison of traditional ERP and S/4HANA

✓ Sketch out the components of S/4HANA

Thank you.

PUBLIC


Hands onS/4 HANA - Simple Finance


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Story1

– Exercise 1: Display Financial Statement

▪ Story2

– Exercise 2: Overdue Receivable

Agenda


Course Goals


• Display Financial statement

• Deal with Overdue Receivable and Push Cash Flow

Story 1


Story 1

Story :Emma is a financial manager accountable for the accounting

operations of the company, which includes, but is not limited to the

period financial reports such as the Balance Sheet and the Profit & Loss

(P&L). Before releasing the financial reports ,Emma reviews them

looking for abnormalities, drastic changes, to name a few.

In the next few minutes you will see how easy SAP S/4HANA Cloud

makes this with quick access to the real-time financials, the ability to

search and drill down into the transactions that make-up the financial

statements.

Financial Manager


Exercise 1Display Financial Statement


Display Financial Statement

Explanation

1. Click drop down list button.

2. Click Finance.



Explanation

3. Click title.

4 and 5. Input 1710 into “Company

Code”.



Explanation

6. Click the drop down list which

Company Code is 1710.

7 and 8. Input 1720 into Statement

Version.



Explanation

9. Click drop down list which version is

1720.

10. Click Go button.

Note: With this app, can display

balance sheets and profit and loss

statements for various companies by

entering the necessary selection

criteria.

These reports are generated on the fly

by analyzing all the relevant line items,

as controller wants to view Expense

details, hence profit and loss tab has

been selected.



Explanation


12. Click input field.



Explanation

13 and14. Fill in search key word

“travel ” and click search button.

Note: As the list is huge, Controller

can use the search criteria for the

relevant items for analyzing. For

example, here he would like to search

the Travel expenses.



Explanation

15. Click the amount 58.52.

16. Click



Explanation

17. Click the first item Journal Entry

number “100030905”.

18. Click “Journal Entry Analyzer”.



Explanation

19, 20 and 21 .input “customer” into

Dimensions and click search button.

Note: With this app you can analyze

journal entries posted in a selected

period. You can see Journal Entry by

Company Code, Fiscal Year/Period.

There are also numerous other

attributes that can be added as rows

or columns in this report. You can find

them by scrolling or searching in the

Navigation Panel.

You can also see the document posted

to each G/L account

Controller can review the Journal Entry

Analyzer.

Controller can add the dimension for

example here adding customer in the

dimension.



Explanation

22. Click “customer”.

23. Click “Navigation Panel”.

Note: review the ‘Journal Entry

Analyzer’ report along with the

additional dimension “Customer”.



Explanation

24. Click “Home”.

Story 2


Scenario

Financial Manager

Story :As the Financial Manger Emma have been receiving pressure that our cash

flows are way too low and that Emma need to get them up as soon as possible. So when

looking at live tiles I notice that 76% of our receivables are overdue! That’s huge!


What is Accounts Receivable (A/R) :

1. Accounts receivable accountants are responsible for collecting outstanding invoices in the

timeliest manner possible. SAP S/4HANA Cloud helps them proactively manage outstanding

balances with easy to understand analytics that show the breakdown of how late they are-

with the ability to easily drill down to see which customers make up that balance.

2. Additionally, SAP empowers the accounts receivable person to see which invoices, credits

and chargebacks make up that balance, which they can quickly share with the customer.

3. SAP S/4HANA Cloud gives A/R accountants and managers the ability to gain insight and

act upon to help reduce Dales Sales Outstanding (DSO).

Let me walk you through a quick example of how you could manage your A/R with SAP

S/4HANA Cloud.

Exercise 2Overdue Receivable



Explanation


2. Click Finance.


Overdue Receivable

Explanation

3. Click the title.


Note: We need to figure out which

accounts have not paid us yet and

close them out immediately.


Overdue Receivable

Explanation

5. Click By Customer (Top 10

Receivables, Chart”)


Overdue Receivable

Explanation

6. Click share button

7. Click Send Email

Note: I need the accounts receivable

team to start getting these accounts

closed as soon as possible, closing

even a few of these accounts will keep

us from having to take more desperate

measures to bring back our cash flow.


Overdue Receivable

Explanation

8,9 and 10 . Input e-mail address ,

subject and send the e-mail .

Note: Let’s inform the accountant that

this is of utmost importance and send

them a link to graph that I am referring

to.


Overdue Receivable

Explanation

11.Click button

12. Click button

Note: We want to look at the overdue

items by line item. This way we can

see exactly what transactions are of

the highest priority.


Overdue Receivable

Explanation

13. Click column Amount(CoCo Cur).

14. Click drop down button “Sort

Descending”


Overdue Receivable

Explanation

15. Click second item which Customer

is USCU_S06

16. Click “Process Receivables”

Note: The first line item we see is a

large number that is overdue, so let’s

click on the customer

code USCU_S06 and learn a little

more about who they are.

Here we get a quick snippet of

customer information, and looking at

the name we immediately recognize

that it is our overdue receivable leader

from the previous graph, Hub &

Spokes Inc. Recognizing this as the

try and take care of this as soon as

possible. Meaning let’s process this

receivable.


Overdue Receivable

Explanation

18. Click Edit Contact Person


Overdue Receivable

Explanation

19 and 20. Change Contact name .


Overdue Receivable

Explanation

21 and 22. input e-mail address.


Overdue Receivable

Explanation

23. Click OK

24. Click Create Correspondence.

Note: Along with the invoice we should

prepare a list of all Open list items so

he can remind them what else is

due. For this we make sure that the

Correspondence is set to Open Item

List


Overdue Receivable

Explanation

25. Click button

26. Click the date.


Overdue Receivable

Explanation

27. Click Preview button

Note: Here we can see the official line

item break down for the outstanding

payments, we can save this to send to

the customer.

By leveraging the Sales rep., we were

able to close out the smith industries

receivable. Raising company cash

flows, and getting our sales reps their

compensation.


Overdue Receivable

Explanation

28. Click Home button


Course Summary


✓ Display Finance Statement

✓ Deal with Overdue Receivable and Push Cash Flow


Use Case : Walmart

Click here to play the video

http://walmart.mp4/


Use Case :Machine Learning and Simple Finance


SAP Clea for cash app.mp4

Thank you.

PUBLIC


Hands onS/4 HANA - Simple Logistics


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Story1

– Exercise 1: Procurement

▪ Story2

– Exercise 2: Sales Order Fulfillment

Agenda


Course Goals


• Procurement

• Sales Order Fulfillment


Sales Order Entry

• This demo starts with creating a rush order for Battery, which is from a priority customer and needs to be delivered asap.

• Immediately after creating the sales order, the Sales rep gets to know that the order is only partially confirmed. Immediately inform the material planner about unconfirmed quantities.

MRP & Material Coverage

• The material planner checks the system and triggers MRP in real time. The MRP creates a planned order and also dependent demand for the components.

• While checking the planned order, the material planners realizes that there is a shortage for a specific component quantity and the system is already proposing solutions to manage the shortage.

• The material planner creates a purchase requisition for the component with a specific supplier

Procurement

• The purchaser see open purchase requisitions and decides to convert it into a purchase order. However since the component is needed immediately, check supplier performance to ensure that the supplier with best overall score is chosen.

• satisfied with the supplier already assigned and therefore convert the purchase requisition to purchase order.

• The warehouse clerk post the GR for the purchase order as soon as material arrives.

Business Flow


Production Execution

• The production supervisor then triggers the production by converting and releasing the planned order into production order.

• After the last production operation is confirmed, the GR for production order is automatically posted and component quantities are back flushed.

Sales Order Fulfillment

• The sales rep checks the stock overview and sees the updated stock.

• She confirms the sales order now, resolve all other open issues with the sales order, creates the delivery, posts the goods issue, and at the end creates an invoice.

• This finishes the logistics process.

Profitability analysis

• Since this was, a rush order from a priority customer and it was delivered on time. The finance manager wants to check if it was profitable, so he opens the profitability dashboard, sees the overall profitability, and then drills down to check the sales order specific profitability. The sales order was indeed profitable

Business Flow

Story 1


Story 1 Procurement

My name is Emma work at toy company Hypercom purchasing department that

are responsible for buying and have contracts with suppliers. company needs

to buy batteries for production and Emma and her colleagues have created

rush orders and the material planner finished planning order , The material

planner creates a purchase requisition for the component with a specific

supplier.

As the purchase requisitions have been approved and what she need to do is

to convert it into a purchase order. However since these batteries are needed

immediately, check supplier performance to ensure that the supplier with best

overall score is chosen.


Exercise 1Procurement


Procurement

Explanation

1. Click here .

2. Click

Note :We are responsible for buying.

We have contracts with our suppliers

and we try to keep a diversified

supplier base so that we do not have

disruptions in production. Let’s take a

look at the Procurement Overview

page.


Procurement

Explanation

3. Fill “Battery” into the field.

4. Click the first item which material is

“MZ-TG-A11” .

Note: Now, all the data on the

overview page is filtered using the

chosen material "Lithium Ion Battery

400 Wh". Let’s start on the right side -

we see an Urgent Purchase requisition

for the battery. Let’s take a look and

resolve the issue so we can get the

batteries we need. On the right side,

we also see the supplier performance

for the two suppliers, which are

available for the battery. Recognize,

that "Electronics Supply Inc." has the

better overall score.


Procurement

Explanation

5. Click

6. Click “2 Sources”

Note: A decision needs to be made to

select the supplier for this purchase

requisition. We can see the 2 suppliers

we need to choose from - we have

contracts with both. Let’s go ahead and

pick Electronics Supply - we already saw

on the overview page, that this one has

the better overall score. The purchase

requisition will then be converted into a

PO.


Procurement

Explanation

7. Click the first one.


Procurement

Explanation

8. Click back button .

9. Delete search column “Material” .

10. Delete search column “Plant” .


Procurement

Explanation

11 and 12. Fill in Polaris to “Supplier”

13. Select the first item which supplier

is “USSU-VSF01”.

Note: We see, that the Purchasing

Spend trend has changed and also,

the overall Supplier Performance is

not that good. So, let's check the

Supplier Evaluation Trend to see, if we

can figure out what are the main

points we should discuss with Polaris

representatives.


Procurement

Explanation

14. Click “Evaluation Trend” .

15. Click Home button .

Note: Here, we can see the Overall

Score drilled down into details in

regards to Price Variance, Time

Variance and Quantity Variance for

Polaris. Seems they not stick to the

agreed upon prices very well and also

Quantity Variance has to be improved.

So, let's keep this in mind when

discussing with them.

Story 2


Story 2 Sales Order Fulfillment

Lilly works at a company that selling batteries , Recently her company is doing a

business with Hypercom selling Batteries to this toy company .

The production had been triggered and planned order had been converted and

released into production order. Production order was posted and batteries

quantities were flushed .

What need Lilly do is to confirm the sales order, resolve all other open issues with

the sales order.


Exercise 2Sales Order Fulfillment



Explanation

1. Click here .

2. Click blue point

Note: Here you see the sales order

issues of the customers we are

responsible for on one single chart.

We have 3 dimensions Issues in Total,

when is the next action and the value

of the issues. We could now deep dive

into the situation by filtering and

selecting. I will directly go to one

customer and see the relevant details

and go deeper.



Explanation

3. Click “Issue” .

4. Click the second “Billing Block in

Sales Orders(S004)”.



Explanation

5. Click “Open” Button

6.Click “Resolve Sales Order Issues”.



Explanation

7. Click the third one which Sales

Order is 246.

Note: Here, we see all Sales Orders

which are blocked for billing with

additional data like "Net Order Value"

or "Delivery Date". So, we want to

work on the issues and see, if we can

solve it. So let's select one Sales

Order.

8. Click the second item “Blocked for

invoicing”.

Note: For this Sales Order, the

payment terms have to be checked -

this is the blocking reason. As we

know that the company has to pay

immediately, we not only can analyze

the issue here, we also can directly

solve it changing the payment terms.

9. Click “Edit Payment Terms”.



Explanation

10. Click “Pay Immediately w/o

Deduction”.

11. Click “Remove Billing Block”.

Note: After we changed the payment

terms, this Sales Order is now ready

for billing. Let's remove the billing

block directly in the app.



Explanation

12. Click back button .

Note: Here in the overview we can

see, that the analytics is updated real-

time as the count for the "Billing Block

in Sales Orders" was reduced by

1.then click back button.

13. Click home button .


Course Summary


✓ Know Procurement Overview and do purchase procurement

✓ Resolve issues with the sales order


Use Case : BMW


http://bwn.mp4/

Thank you.

PUBLIC

Lecture: Agile ImplementationIntroduction of SAP Activate and Solution Manager



Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ SAP Activate methodology

– SAP Activate methodology overview

– SAP Activate Key Characteristics

▪ SAP Solution Manager 7.2

– Solution Manager 7.2 overview

– Solution Manager 7.2 Functional Areas

– Solution Manager 7.2 - Optimal for Digital Business

Transformation

Agenda

7.2


Course Goals


Understand the SAP Activate methodology Guiding Principles

Get an overview of what Solution Manager 7.2 supports

List the function areas of Solution Manager 7.2

Describe how Solution Manager 7.2 can help on Digital Business

Transformation

SAP Activate methodology


SAP Activate methodology overviewNext generation agile methodology that drives customer success

The SAP Activate innovation adoption framework is a unique combination of best practices, methodology, and guided configuration to help customers and partners implement the SAP S/4HANA suite.

Objectives• Plan, manage, and deliver implementation projects quickly and easily • Simplify modifications and upgrades, including testing• Take advantage of industry-specific functionality by integrating with third-party solutions

Solution• Ready-to-run business processes, optimized for SAP S/4HANA• Set of tools for an assisted implementation, covering everything from the initial implementation of a project to running in a

production environment and beyond• Consistent, guided approach for any implementation scenario based on best practices, whether on premise, cloud, or hybrid

Benefits• Accelerated time to value• Lower total cost of ownership• Less service intensive implementation projects


SAP Activate for managed cloud and on-premise Iterative implementation with frequent validations

Jump-start project with

pre-assembled

solution

Identify & validate

delta requirements

and gaps

Build customer

solution in short, time-

boxed sprints

Safeguard build and

run with ICC**, OCC**

and MCC**

Prepare

Pre-

Assembly

Solution Scope

and Value

Determination

Initial

Roadmap and

Approach

Explore

Delta

Design

Deploy

Technical and

System testing

Realize

Baseline Build

Sprint Execution

Solution Validation including

Gap Validation**

Prioritize Backlog

Release and

Sprint Plan

Integration Testing

Value Audits

Setup Operations

or OCC**

Organizational

and Production

Readiness

Cutover

Support after

Go-Live

Run

Operations

Control Center

Application

Lifecycle

Management

Value

Management

** Deliverables, milestones and activities are only applicable in SAP Premium Engagements.


Start with SAP Best PracticesInnovation adoption made simple with SAP Best Practices™ and SAP Rapid Deployment Solutions

▪ Get a jump-start for your implementations with

SAP Best Practices™

▪ Deploy SAP innovations fast, simple and flexible

▪ Use SAP’s tested and proven methodology with

prescriptive guidelines

▪ Leverage preconfigured business content

▪ Protect your on-premise investments with extensions

to the Cloud

▪ Move up on the path to the cloud from pre-assembled

trials to productive use

Fast time to value

Predictable results

Simple on-boarding

to cloud


Agile Build: Use of SCRUM-based approach to build solutions

Sprint BacklogSprint Retrospective

Sprint Execution

Sprint Planning Meeting

Sprint Review Meeting

Scrum Process

Recurring Cycle

DesignScopeProduct

Backlog

Usable

Software


Agile Build: Iterative Realize Phase

Agile Release

Busin

ess P

riority

Product Backlog

Mu

st

Sh

ou

ldC

ou

ldW

ou

ld

Priority days

16

15

14

13

12

11

10

09

08

07

06

05

04

03

02

01

4

5

1

8

2

7

3

4

2

2

4

3

3

6

4

5

Realize… Explore

TimeIterations & Demos

Sign-Off

(Organization

readiness)

Sprint 1

Sprint 2

Firm-up

Sprint

Unit

Unit

Epic / Scenario

Sprint 3

Sprint 4

Firm-up

Sprint

Epic / Scenario Integratio

n Test

User

Acceptance

Unit

Unit

String

String


SAP Solution Manager 7.2 is fantastic for Build SAP

SAP Solution Manager 7.2 supports outcome-based delivery.

Automated• Tiresome and error-prone labor is

eliminated

• Automated real-time dashboards replace spreadsheets

• Centralized automated status of all projectsworldwide

Jumpstart• Predict and realize business value

• Standardized project plans and services

• Best-practice processes and pre-configuration

• Always up-to-date with One Content Cloud

Agile• Build what the business needs, when they

need it

• Continuous feedback loops with the business

• Incremental delivery of solution

• Agile Release Train

Out-Task• Package and distribute work

• Centralized orchestration of distributed delivery teams

• Track solution readiness against due dates

• Collaboration and quality assurance with SAP


SAP Solution Manager 7.2 in a nutshell

IncidentMonitorDetect to correct

Problem Optimize

Portfolio Management Project ManagementPortfolio to Project

Demand Design DEV Test Deploy Requirement to Deploy

Service RequestService

Catalogue

Request to Fulfill

Service

Fulfillment

SAP Solution Manager 7.2 delivers 4 key value scenarios

Value scenarios - Life-cycle view


Change

SAP Solution Manager Integration ModelKey Documents of the Four Value Chains 1/2

Portfolio Management Project ManagementPortfolio to Project

Demand Design Dev Test Deploy Requirement to Deploy

InitiativeInvestment

Bucket

Portfolio

ItemProject IssueRisk

RequirementWork

Package

IT

Requirement

Work Item Test Case

Test Plan

Release

Defect


Service RequestService CatalogueRequest to Fulfill Service Fulfillment

SAP Solution Manager Integration ModelKey Documents of the Four Value Chains 2/2

Request for

Change

Guided

Procedure

Incident

Problem

Alert

Incident

Analysis

Bus. Proc.

Analytics

IncidentMonitorDetect to correct Problem Optimize

Service

Request

Service

Catalogue

Guided

Procedure

Task


SAP Solution Manager 7.2 Functional Areas

Project

Manage

Custom

Code

Manage

Change

Control

ManageLandscape

Manage

IT Service

Manage

Data Volume

Manage

Application

Operations

Process

Manage

Business

Process

Operations

Test

Suite

Detect to Correct

Portfolio to Project

Requirement

to Deploy

Request to Fulfill


SAP Solution Manager 7.2Optimal for Your Digital Business Transformation

Launchpad, Apps

and Dashboards

One Process Landscape

for Business and IT

Transparent

requirements to deploy

On-Premise, Hybrid

and Cloud Solutions

DIGITAL BUSINESS

SAP S/4HANAand SAP customer

solutions

SAP Solution Manager

on SAP HANA



Launchpad, Apps

and Dashboards

Transparent


On-Premise, Hybrid

and Cloud Solutions


on SAP HANA

DIGITAL BUSINESS

SAP S/4HANADigital Industries


for Business and IT


Launchpad, Apps & DashboardsProviding the ultimate user experience

SAP Solution Manager Launchpad offers role-based access

to all relevant applications and Work Centers

SAPUI5 / Fiori apps for key business-facing UIs and mobile

applications.

Vital SAP Solution Manager UIs are revamped incrementally

using SAPUI5 / Fiori, based on customers’ usage and

demand.

All Flash-based UIs for Run SAP applications and the existing

SAP Solution Manager dashboards are converted to SAPUI5.

Browsers supported by the SAP Business Suite are also

supported by SAP Solution Manager.

SAP Solution Manager 7.2 follows the SAP Business Suite Strategy.


Launchpad, Apps & DashboardsAnalytics Overview

Custom, Best-Practice DashboardsCross-Application DashboardsApplication-specific Dashboards

Customer creates individual

dashboards based on

predefined models in minutes.

Ideal for jumpstarting OCCs.

Customer picks and chooses

KPIs from a KPI catalogue to

create tiles on individual

dashboards.

Customer consumes

dashboards per application

as they are.



Launchpad, Apps

and Dashboards

Transparent


On-Premise, Hybrid

and Cloud Solutions


on SAP HANA

DIGITAL BUSINESS



for Business and IT


One Process Landscape for Business and ITBig Picture

State-of-the-Art Business Process Modeling in SAP Solution Manager 7.2

covers the whole lifecycle of a solution.

DesignTo-be processes &

requirements

BuildAgile requirements

fulfillment

RunContinuous improvement

based on real usageDigital

Transformation


One Process Landscape for Business and ITProcess Management in SAP Solution Manager

▪ SAP Solution Manager solution

documentation

– Web-based documentation experience

– Integrated BPMN process editor

– Multi-level hierarchies (more than three)

– Processes assembled from re-use libraries

– Processes are validated and optimized continuously

based on real usage

▪ Integrated process experience

– Requirements Management

– IT Project and Portfolio Management integration

– Change and Request Management integration

– Test Management integration

– Business Process Monitoring integration

Today, customers are challenged with synchronizing business models and processes with

IT solution documentation across build and run.

Integrated graphical BPMN process editor


One Process Landscape for Business and ITNew Business Process Monitoring application

See the status of the last data collection for your

business processes in a simplified tabular display,

optionally per step or interface.

In addition, you can see a graphical

representation of your business process flow.

This makes use of the new process graphic from

the solution documentation.

From both screens you can navigate to the details

of the collected metrics (e.g. last measured value

or detail list).

Process Management and Process Monitoring share the same foundation!



Launchpad, Apps

and Dashboards

On-Premise, Hybrid

and Cloud Solutions


on SAP HANA

Transparent


DIGITAL BUSINESS



for Business and IT


Transparent Requirements-to-DeployOutcome based delivery - constant feedback loops with the business

Value added by methodology & tools– Automated visibility of solution readiness against

due dates, with integrated risk management

– Management of distributed development teams

– Agile release and software engineering with

optional JIRA integration

– Automated test planning, change & release

management to support continuous delivery &

integration and DevOps

– Full integration of demand, project, process,

change, release and test management

Ready-to-run, and integrated, tool-supported methodology to manage

requirements and software development in large, agile projects.



Launchpad, Apps

and Dashboards

Transparent


On-Premise, Hybrid

and Cloud Solutions


on SAP HANA

DIGITAL BUSINESS



for Business and IT


On-Premise, Hybrid and Cloud SolutionsThere Is More Cloud Than You Think!

– Build, Deploy, and Run for SAP

cloud products

– Same level of standards for

cloud as on-premise

– Cloud Appliance Library

– SAP Solution Manager as a

Managed Service

– Maintenance Planner

– KPI Catalogue

– Roadmap Viewer

– SAP S/4HANA Readiness

Check

– Best Practices


for Cloud


with Cloud


on Cloud



Launchpad, Apps

and Dashboards

Transparent


On-Premise, Hybrid

and Cloud Solutions


on SAP HANA

DIGITAL BUSINESS



for Business and IT


SAP Solution Manager on SAP HANAMore value through in-memory technology

▪ Performance increase

– Drastically faster text search functionality opens new opportunities e.g. to work with documents,

service reports, ITSM tickets

▪ SAP HANA only strategy

– If SAP HANA is the only platform at your company, SAP Solution Manager 7.2 is your perfect

lifecycle management platform

▪ SAP Solution Manager as a door opener for SAP HANA

– First system in a general plan to migrate to SAP HANA and become familiar with it

– Preparation of SAP HANA operations

Why choose SAP Solution Manager 7.2 on SAP HANA?

SAP HANA


Digital Business

Use SAP Activate for SAP S/4HANA for delta scoping

1. You can download this content into your


2. From the diagram, you can jump into

SAP FIORI apps in a pre-activated

SAP S/4HANA trial system

3. Execute show and tell of the SAP

S/4HANA innovations hands-on

4. Document requirements as a result of

this fit/gap analysis

SAP Activate provides SAP S/4HANA best-practice process content that consists of process

diagrams, documentation, and configuration.

1

2

3

4

SAP S/4HANAOn-Premise Edition


Course Summary


✓ Understand the SAP Activate methodology Guiding Principles

✓ Introduce the steps of SAP Activate

✓ Introduce the key values of Solution Manager 7.2

✓ Sketch out the Solution Manager 7.2’s Function areas &

Application scenarios

Thank you.

PUBLIC


Hands onEnd-to-End Defect to Fix process (Solution Manager 7.2)


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Scenario

▪ Exercises

– Create Process Diagram

– Incident Handling

– Change Processing

Agenda


Course Goals


• Create Process Diagram

• Create / Dispatch / Process an incident

• Request a change / Process a change

Scenario


Scenario

Emma discovered an

issue while creating, she

requires expert’s help

Create Process diagram

Issue Discovered Issue needs to be fixed

Business Consultant

Expert found a bug

after investigating, he

creates a request for

change to fix the bug

immediately


Boss needs a

comprehensive

order-to-cash

process

Emma create a visible

order-to-cash process

diagram in solution

manager

Emma

Issue resolved

Bug is fixed,

request replied to

Emma and

Emma confirmed

the issue is fixed.

Exercise 1Create Process Diagram


Access Solution Documentation

Explanation

1. Open T-CODE SOLDOC

2. Choose “Business Process”


Create Process Diagram

Explanation

1. Click “Sale”

2. Click “Order to Cash”

3. Right Click on the empty table

4. Create “Process Diagram”

5. Maintain required information

6. Specify responsible staff

7. Save


Create Process Diagram (cont.)

Explanation

1. Choose “Order to Cash” Diagram

2. Add all process steps

Exercise 2Incident Handling


Create Incident

Explanation

1. Open SM_CRM, choose

SOLMANREQU

2. Click “Create Incident”

3. Enter required information

4. Select System / Category

5. Upload Attachment

6. Confirm & Send


Dispatch Incident

Explanation


SOLMANDSPTCH

2. Find incident waiting to be

dispatched

3. Click incident number

4. Dispatch incident to related

resource

5. Change status to “Forwarded”

6. Enter internal memo

7. Save the change


Proceed Incident

Explanation


SOLMANPRO

2. Find incident that assigned to

current user


4. Change status to “In Process”

5. Identify issue

6. Click “Create Follow-up” Button

7. Choose “Request for Change”

Exercise 3Change Processing


Create Request for Change

Explanation

1. Enter required information

2. Specify Change Manager

3. Enter description of change

4. Save the change


Approve Request for Change

Explanation

1. Change status to “In Validation”

2. Specify affected landscape /

project / type of change

3. Change status to “To be approved”

4. Approve Change

5. Change status to “Being

implemented”


Proceed Urgent Change

Explanation

1. Click UC ID in Request for Change

2. Specify Developer / Tester / IT

Operator

3. Change status to “In

Development”

4. Perform change in development

system

5. Change status to “To be Tested”

6. Perform change in test system

7. Change status to “Successfully

Tested”

8. Approve change

9. Import change into Production

system

10. Confirm Change


Confirm Request for Change

Explanation

1. Navigate to previous request

for Change

2. Check status under

“Implemented”

3. Change status to “Confirmed”

4. Check previous incident, the

status will change to

“Proposed Solution”

5. Add Reply to the incident

6. Save the Change


Confirm Incident

Explanation


SOLMANREQU

2. Find incident that requires further

action


4. Verify solution

5. Click “Confirm” button to confirm

incident


Course Summary


✓ Create Process Diagram

✓ Create / Dispatch / Process an incident

✓ Request a change / Process a change

Thank you.

PUBLIC


Lecture: The Business NetworksSAP Cloud Products overview


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Overview

▪ HR Cloud – SuccessFactors

▪ Customer Cloud – Hybris

▪ Procurement Cloud – Ariba Networks

▪ Travel Cloud – Concur

Agenda


Course Goals


• Understand the big picture of SAP cloud offerings related to Line

of Business and Business Networks

• Understand the value proposition and overall feature of SAP

SuccessFactors, Hybris Customer Engagement Cloud, Ariba

Network and Concur Travel

Overview


Immediate

Empowering business users with

insights to act in the moment.

Intelligent

Beyond automation,

to predictive suggestion.

Integrated

Not only between your departments,

but connected to the world.

The Big picture about Business Solutions

Consumer experience

omni-channel

Workforce engagement

Assets &

Internet of

Things

Supplier collaboration

business networks


SAP S/4HANA Cloud: The Digital Core for Live Business

Workforce

Engagement

Spend

Management

Customer

Experience

IoT and

Supply Chain

MACHINE LEARNING)

APIs

SECURITY

Digital Core

S/4HANA

SAP Digital Boardroom

Business

Transactions

Intelligent

Insights

INDUSTRY

SAP HANA SAP Cloud Platform


Overview

Your prospective customer wants to achieve one of the

following:

▪ Scenario 1: Become an employer of choice and control costs associated

with both their full time and contingent workforce (Hint:

www.successfactors.com & www.fieldglass.com)

▪ Scenario 2: Streamline and standardize procurement processes (Hint:

www.ariba.com)

▪ Scenario 3: Control travel costs and streamline travel expense

submissions and approvals for a highly mobile workforce (Hint:

www.concur.com)

▪ Scenario 4: Establish an online store with a world class customer

experience and a digital marketing strategy (Hint: www.hybris.com)

http://www.successfactors.com/

http://www.fieldglass.com/

http://www.ariba.com/

http://www.concur.com/

http://www.hybris.com/


Lines of Business (LoBs) & Business Networks

LoB/Business

Network

LoB CEC LoB HR LoB Procurement

(incl. Ariba Network)

Concur

(Finance &

Procurement)

SAP Fieldglass

(HR & Procurement)

Primary

Solution(s)

• SAP hybris • SAP SuccessFactors

(SFSF)

• SFSF Employee

Central (EC)

• SAP Ariba

(Solutions) +

• SAP Ariba Network

Concur SAP Fieldglass

Acquired 2013 (~$1B) 2012 (~$3B) 2012 (~$4B) 2014 (~8B$) 2014 (~$1B)

Value • Revenue ↑

• Churn ↓

• Upsell/cross-sell ↑

• …

• Process Cost ↓

• Time to Hire ↓

• Time to Productivity ↓

• Retention ↑ /

Attrition/Churn ↓

• Employee

Engagement ↑ …

Very strong business

case!

• Price ↓

• Process Cost ↓

• Compliance ↑

• Cash Flow Benefits

↑

Similar to Ariba, but

for T&E

• Efficiency ↑

• Cost ↓

• Worker quality ↑

• Compliance ↑

Customers &

Other Resources

• Fast Facts

• www.hybris.com

• Corning (S4HC

customer)

• Fast Facts

• www.successfactors.c

om

• www.sap.com/hr

• Fast Facts

• www.ariba.com

www.concur.com www.fieldglass.com

https://jam4.sapjam.com/groups/about_page/7HSZH4Kc40TcUD2FGPafwu

http://www.hybris.com/


http://www.successfactors.com/

http://www.sap.com/hr


http://www.ariba.com/

http://www.concur.com/

http://www.fieldglass.com/

HR Cloud – SuccessFactors


You know that feeling

when you walk through a

company’s front door.

You can feel the energy …

Sometimes it’s flat.

Other times it’s electric.

And what drives that

energy?


Your People.

They are the heartbeat of

your organization.

When they are engaged –

feeling supported, trained,

rewarded and motivated –

they will do what it takes

to win.


Engaged People =

Extraordinary Results

71% of respondents rank

employee engagement as

imperative to achieving

business success.Harvard Business Review

This heartbeat proves …

71%


Across the total workforce

Mastering these challenges requires a digital approach to HRHCM technology must encompass a new set of digital capabilities

Encourage continuous usage

and engagement, and foster

continuous innovation

Use data to suggest and

recommend

Expand solutions and

build own apps to meet

current and future needs.

IntelligentContinuous Extensible


SAP SuccessFactors HCM SuiteUnmatched breadth and depth of solutions

Competencies | Skills | Best Practices

Core HR

Recruiting Learning Performance & Goals

Succession & Development

Employee Recordkeeping | Organizational Management | Global Benefits

Shared Services | Payroll | Time & Attendance

Talent Management

Technology: Secure | Integrate | Extend

User Experience: Social | Mobile | Intelligent Services

CompensationOnboarding

Reporting & Embedded Insight Workforce Analytics Workforce Planning

Demo

SAP SuccessFactors

Customer Cloud – Hybris


DIGITAL TECHNOLOGIES HAVE QUICKLY BECOME A DRIVING FORCE OF JOB CREATION,

ENTREPRENEURSHIP, AND INNOVATION IN THE 21ST CENTURY. JUST A DECADE AGO,

LESS THAN A FIFTH OF THE GLOBAL POPULATION HAD INTERNET ACCESS.

TODAY, 3.2 BILLION PEOPLE ARE ONLINE. BY 2020, THAT NUMBER WILL GROW TO FIVE

BILLION PEOPLE. THAT SAME YEAR, THE EMERGING “INTERNET OF THINGS” SECTOR

WILL LIKELY COMPRISE A $1.7 TRILLION GLOBAL MARKET. BY 2025, PRODUCTS AND

SERVICES THAT RELY ON CROSS-BORDER DATA FLOWS WILL ADD $1 TRILLION

ANNUALLY TO THE GLOBAL ECONOMY.

Penny Pritzker

Secretary, US Department of Commerce

June 22, 2016


CHANGE IS HAPPENING FASTER THAN EVER …

TIME TO REACH50 MILLION USERS

75 YEARS

38 YEARS

13 YEARS

4 YEARS

3.5 YEARS

3 YEARS

2.5 YEARS

50 DAYS

35 DAYS


CUSTOMERS ARE HARDER TO ENGAGE

99.76%

of online ads are ignored.

Source: Google

57%

of the buying process is completed before a first interaction with sales.

Source: Customer Executive Board

60%

of consumers abandoned a purchase due to a poor service experience.

Source: American Express Global Barometer

CHANGE

ADDRESS

DISCOVER

NEED

RECEIVE

OFFER

POST

REVIEW

MAKE

PAYMENT

JOIN

GROUPS

SHORTLIST

TRACK

ORDER

BUYRECEIVE

PACKAGE

SET UP

PHONE

MISSING

ITEM

NETWORK

ISSUE

FIX

ISSUE

RESTART

SERVICE

BILLING

ISSUE

LOYALTY

BONUS

RECEIVED

OFFER

WEB

TV

DIGITAL

ADS

PRINT

SOCIAL

SEARCH

KW/ADSREVIEWS

RETAIL

STORE

CONTACT

CENTER

EMAIL

SOCIAL CONTACT

CENTER

SUPPORT

PORTAL

CONTACT

CENTER

SOCIAL

BRANDED

COMMUNITY

CONTACT

CENTER

CONTACT

CENTER

RETAIL

STORE

AWARENESS

INTEREST

CONSIDERATION

ACTION

USE

ACTION

ADVOCACY

ADVOCACY

CONSIDERATION

USE

SUPPORT

PORTAL

WEB

SHOPRETAIL

STORE

REFER

FRIENDS

EMAIL

SOCIAL

WORD OF

MOUTH

WEB

SITE

WORD OF

MOUTH

WEB SHOP

RESEARCH

WEB

WEB SHOP

DISCOVERY

EACH CUSTOMER CHOOSES THEIR OWN ADVENTURE


73%of businesses recognize

the challenge posed by

competitors who make

better use of customer

data, analytics and

engagement.

IT’S TIME TO ACT.


BUT THE

CHOICES ARE

OVERWHELMING,

AND ASSEMBLING

DISPARATE

SOLUTIONS CAN

MAKE THINGS

WORSE.

SOURCE: chiefmartech.com

http://chiefmartech.com/


426

CRM. WEB CMS. MOBILE. MARKETING. OMS.

STORES. CONTACT CENTERS. ETC.

THIS

COMPLEXITY

MAKES AGILITY

IMPOSSIBLE.


WHAT MAKES SAP HYBRIS DIFFERENT?

WE ATTACK OF THE PROBLEM


OUR APPROACH

WEB MOBILE IOT SOCIAL EMAIL PRINT AGENT TOOLS

EXPERIENCE MANAGEMENT

PLATFORM, INFRASTRUCTURE, INTEGRATION

DATA & PROCESS MANAGEMENT

COMMERCE SERVICEBILLING SALESMARKETING

IN STORE/

BRANCH

CONTACT

CENTER

MARKET-

PLACESMS/

NOTIFICATIONSEARCH

ADS / SEO

DIGITAL

ADS

DIGITAL

GOODS


SAP Hybris Commerce Cloud drives your digital transformation and enables you

to become an omni-channel business, deliver contextual customer experiences

and respond to the market faster.

SAP HYBRIS COMMERCE CLOUD

Commerce for B2C & B2B

Customer Experience

Customer Support

Merchandising Mobile Tools

Order Management

Product Content Management

Search

KEY CAPABILITIES


SAP Hybris Billing is an end-to-end solution for subscriptions and usage-based

service monetization. With coverage of the entire offer-to-cash process, it allows

you to rapidly launch customer-centric subscription offers; exploit fast-moving

market opportunities; build both simple and sophisticated pricing models; and

seamlessly incorporate partner revenue sharing models.

SAP HYBRIS BILLING

Billing & Revenue Management

Subscription Order Management & Pricing Agility

Usage Mediation & Service Control

Partner Revenue Share

Business Model Design & Pricing Simulation

KEY CAPABILITIES


SAP Hybris Marketing Cloud enables organizations to market in the moment

by allowing marketers to understand the real-time intent of each customer and

dynamically deliver contextually relevant experiences across channels.

SAP HYBRIS MARKETING CLOUD

Consumer & Customer Profiling

Segmentation & Campaign Execution

Marketing Resource Management

Commerce Marketing Loyalty Management

Marketing Lead Management

Marketing Analytics

Customer Journey Manager

KEY CAPABILITIES


SAP Hybris Sales Cloud is a modern-day, cloud sales solution that is built for

sales professionals on the go. Leveraging user experience technology that is

easily tailored to the way companies want to engage with their customers and

run their business.

SAP HYBRIS SALES CLOUD

Analytics

Mobility

Opportunity Management

Retail Execution Territory Management

Sales Performance Management

Sales Force Automation

Collaboration

KEY CAPABILITIES


SAP Hybris Service Cloud solutions enable the end-to-end service process;

supporting seamless transitions between communication channels to

resolve customer issues and execute service orders through self-

service options, engagement center agents or an on-site technician.

SAP HYBRIS SERVICE CLOUD

Call Center Management

Field Service Management

Mobility

Workflows and Approvals Analytics

Knowledge Base

Ticket Management

Omni-Channel

KEY CAPABILITIES

Demo

SAP Hybris

Procurement Cloud – Ariba Network


Top Priorities of Procurement

28%

27%

17%

24%

17%

18%

17%

14%

18%

44%

42%

51%

43%

43%

39%

40%

39%

32%

Role of procurement as trusted advisor

Reduce/avoid purchase cost

Improve procurement's business agility

Expand scope/influence

Deepen influence on complex indirect spend

Enable innivation/tap supplier innovation

Increase internal stakeholder satisfaction

Reduce supply risk

Improve supplier delivery performance

Critical Issues Major Issues

Key Issues Study, The Hackett Group, 2015

Elevating “Role of procurement as a

trusted advisor” appears as top priority

It involves participate in budgeting &

planning cycles by providing

– Cost insights into less expensive

alternatives

– Ensuring optimal RoI on

investments

Reducing purchase costs still continue

to dominate top priorities

Issues Responded by Respondents in Procurement Role


Performance of World-Class Procurement Organizations

World-class procurement organizations continue their record of outperforming

their peer group by a wide margin

World-class procurement organizations deliver higher-quality services at:

27%

Lesser costs Lesser FTEs

19%

Procurement Executive Insight, The Hackett Group, 2014


Some Key Performance Indicators..

World-class procurement organizations as compared to their peers

0.59%

0.73%

World-Class Peer Group

19%

9.01

4.06


122%

World-class procurement organizations

have 19% lesser procurement cost as

% of their spend than their peer group

World-class procurement organizations

have 9X payback on investment

This is 122% higher than their peer

group

Procurement Executive Insight, The Hackett Group, 2014

12,713

3,738


240%

In PO processing efficiency world-

class procurement organizations beat

their peer group by a large margin of

240%


SAP Ariba cloud applications and Business Network

Uniquely positioned to address diverse spend categories, suppliers and processes

DIRECT AND SUPPLY CHAIN

INDIRECT AND MRO

User Experience + SAP HANA Cloud Platform + INTEGRATION TO SAP AND NON SAP S/M

Source & Contract Request & Buy Invoice & Pay

ContractSourcePlan OrderApproveRequest PayManageReceive

Supplier Management


Delivers measurable benefits and value to companies of all sizes,

industries, regions

Source: SAP Ariba customer surveys and interviews

BUYER VALUE SELLER VALUE

Unit Price

Reduction

Procuremen

t Process

AP Process

Contract

Compliance

WCM &

Discount

3-9%

Sourcing

Savings

4-7%

Procure-to-Pay

Savings

Faster

Payment

AR Process

Processing

Orders

Sales &

Marketing

Increased

Revenue

15-75%

Time

Savings

15-75%

Process

Savings

5-32%

Revenue

Increase


Drive business transformation through new innovations

44

1

Total User Experience

Work Anywhere Learn in Context

Modern UX Principles


Drive business transformation through new Innovations

44

2

AribaPay

Simple. Certain. Secure

Buyer

Payment

instructions

Rich remittance

Track and trace

payment status

Bank account

management

Invoice status

Purchase orders,

invoices, contracts, and

receipts

Supplier

Buyer

Bank

Supplier

Ban

kDebit Credit

Integrate Payment with Data

PO’s, Invoices,

Contracts,

Receipts

AribaPay



44

3

SHIP

ECOSYSTEM

OF SUPPLY

APPROVE PAY

SEARCH

BUYING

ORGANIZATIONS

Ariba Procurement

ANALYZE FILTER

Seller Direct

Marketplaces

▪ Reduce time and effort to find and buy non-sourced goods

▪ Bring non-sourced spend under control

▪ Expand procurement’s ability to better serve their customers

Ariba Spot Buy – Find and Buy Non-Sourced GoodsThe perfect balance of convenience and control

• Filtered suppliers and content

• Thousands of categories

• Regionally available supply

• Simple user experience

• Configuration and workflow

• Secure payment

• Visibility into detailed data



44

4

BUYING ORGANIZATION TRADING

PARTNER

Goods

receipt notice

Purchase order or

change order

Ship notice

Order confirmation

Invoice

Collaborative Supply Chain – Extended Order Management


Network Collaboration – Driving Buyer and Seller Value

Customer success – Buy side

$800 million in savings

within a span of 4 years

>30% reduction in

BPO costs

75% reduction in invoice

approval and processing

times

18% savings for categories

managed through SAP Ariba

3,000+ suppliers onboarded

and

7,500+ contracts managed

Maersk Deutsche Bank

AmBank Posadas

AIR FRANCE KLM


Network Collaboration – Driving Buyer and Seller Value

Customer success – Sell side

MEDIAFLY STEELCASE MARK MASTER Charles Seafood

Grew orders with existing customers

>65%. 20%+ Y-o-Y revenue gain

for 6 years.

Gained 80% of new clients through Ariba

Network

Cut quote-to-settle cycle by

Purchase order process reduced from several weeks to hours

30% reduction in

days sales outstanding

80% reduction in

late payments

84%

Taps early payment discounts to

improvecash flow, fund investments.

Faster

Payment

Higher Customer

Satisfaction

Increase

Sales

Lower Customer

Service Costs

Demo

SAP Ariba Networks

Travel Cloud – Concur

449PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ 449

One day in Concur

> 1 Mio. end user

> 170.000 trips booked by clients

> 700.000 expense reports transferred

We are archiving 180 Mio. database entries

We are initiating reimbursement of 100 Mio. €

450PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ-450-

Core products

Request &

book journey

Expense

journey

Invoice &

report

Approve

booking

Approve

expenses

Conduct

journey1 2 3 4 5 6

Concur Travel

Concur Expense

Concur Request

Concur Mobile Apps

Concur platform

Concur Intelligence

Tripit Concur Mobile Expenseit

We offer an end-to-end solution to manage T&EEnd-to-end travel and expense coverage

Concur Messaging

Services

This how 40.000 customers worldwide are driving value and making better business decisions around their discretionary spend by partnering with concur.

451PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ-451-

Intangible benefits further speak for a harmonizationConcur Travel & Expense benefits by stakeholder

Concur Travel & Expense:

✓ State-of the art user

interface

✓ Very solid data base

✓ Full end-to-end coverage

User:

• Always knows what he is

allowed to book

• Great mobile apps

• Clear guidance for approvals

• Effortless booking and expense

Manager:

• Gets proactively informed

and guided in approvals

• Can centrally manage all requests

– mobile and browser based

• Can control spend proactively

HR / travel manager / IT:

• Easy to admin system

• High flexibility in policy

adjustments

• Compliance monitoring and

powerful reporting

Finance / procurement / risk:

• Tight cost control

• Improved negotiation power

• Powerful audit tools

• State-of-the art Concur

Messaging

Demo

SAP Concur

Recap of the Semester 1


SAP Implementation

and Value Assurance

Services

Semester Recap

SAP Leonardo

Innovation Services

SAP HANA SAP Cloud Platform

System of

Record

SAP S/4HANA

SAP Hybris

SAP

SuccessFactors

Concur

SAP Fieldglas

SAP Ariba

System of

Innovation

SAP Leonardo

IoT

Machine Learning

Big data

Modern Analytics

Blockchain

Data Intelligence

Semester 1 Semester 2


Course Summary


✓ Understand the big picture of SAP cloud offerings related to Line

of Business and Business Networks

✓ Understand the value proposition and overall feature of SAP

SuccessFactors, Hybris Customer Engagement Cloud, Ariba

Network and Concur Travel

Thank you.

PUBLIC


Hands onSAP SuccessFactors


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Scenario1

▪ Exercises

– Job Requisition Process – SAP & SUCCESSFACTORS

– SuccessFactors Hybrid Demo (Scenario2)

– Investigate - SuccessFactors Workforce Analytics

Agenda


Course Goals


• Create vacant position in SAP

• Create a Leave request

• Create a Workforce Analytics page

Scenario1


Scenario1

Emma using Success

Factors to create the job

requisition quickly

together with updating

Requisition ID in SAP,

and then send it to her

Manager.

Success Factors HCM

HR Emma

Manager using HCM

with just a few clicks,

she approves and

sends job requisition

to Recruiter for further

processing.


manager wants to

hire a new employee

Emma is an HR. Her

manager wants to hire a

new employee, and asks

her to create a Job

Requisition.

Exercise 1Job Requisition Process – SAP & SUCCESSFACTORS


Job Requisition Process – SAP & SUCCESSFACTORS (1/6)

Explanation

1. Enter ec3 in the Search text field.

2. Double Click

3. Enter User and password.

4. Note: HR Administrator creates

vacant position in SAP: The HR

Professional creates a vacant

position in the Organizational

Management module of SAP. This

ensures that a job requisition is

triggered.

5. Enter ppome in the Transaction

text field.

6. Click .


Job Requisition Process – SAP & SUCCESSFACTORS(2/6)

Explanation

1. Click

2. Click

3. Right Click on Sales Analyst &

Select Copy

4. Click “OK”

5. Note: Staffing status’ field has the

‘Vacancy open’ selection.

6. Click Save


Create Job Requisition Process – SAP & SUCCESSFACTORS(3/6)

Explanation

1. Click

2. Note: ‘SFSF Job Requisition’ tab

for the position has the below

fields updated:

1. ‘Requisition Status’ of ‘To be

Created’

2. ‘Requisition Template ID’

has SuccessFactors job

requisition template ID 1492

These fields must be updated to

trigger the job requisition in

SuccessFactors

3. Click



Explanation

1. Enter HRSFI_RCT_TRG_JOBREQ

in the Transaction text field.

2. Click .

3. Click

4. Enter ppome in the Transaction

text field. Note: ‘Requisition

Status’ updated to ‘Created’ and

the ‘Requisition ID’ has been

updated with the job requisition

number from SuccessFactors

5. Click Note: The

‘Show Fields’ button on this

infotype will display all the

information transferred across to

SuccessFactors



Explanation

1. Log on by using the manager’s

account. Note: Manager checks

the job requisition has been

created and forwards to Recruiter

2. Click

3. Click

4. Click

5. Click



Explanation

1. Click Department

2. Select .

3. Click Location

4. Select

5. Click

6. Uncheck

7. Uncheck

8. Click “Next”

Note: The job requisition has now

been approved and sent to the

recruiter for further processing.

Exercise 2SuccessFactors Hybrid Demo


Scenario2

He then reviews his

goals in the goal

management systems

and sets time aside to

finish some goal related

tasks.

leave application

system

the goal

management

systems

Performance

Review

systems

Marcus

Carla Grant, a

General Manager,

goes to Performance

Review systems and

looks at Marcus’

goals to see how he

is going on his goals.


Marcus applies for family

leave using the leave

application system. He

then adds his new born

baby as a dependent in

the benefits system.

Carla approves

the family leave

Carla approves the

family leave along

with a note asking

Marcus to attend to

one goal before he

leaves for vacation.


SuccessFactors Hybrid Demo (1/9)

Explanation

1. This demo highlights the seamless

navigation across SAP Employee

Self Service and Manager Self

Service applications and

SuccessFactors Business

Execution Suite of applications,

particularly goal management.

2. Click “Log on” by using Marcus’

account

3. Click “Leave Request” (Marcus

Hoff applies for Family Leave)

4. Click to choose Start date

5. Choose 4th Aug as Start date

6. Choose 9th Aug as End date



Explanation

1. Enter This is a family leave to be

with the new born child in the box.

2. Click “Send” to send the leave

request.

3. Then Click “OK”

4. The leave request has been sent

to the manager, Click to

close the page.



Explanation

1. Click “Employee Service”

2. Click “Benefits and Payment”

3. Then Click “Dependents and

Beneficiaries”



Explanation

1. Notes: Click on the Add button to

add child as a beneficiary You can

add all information or Cancel out of

the screen

2. Click to go back

3. Click “Employee Service”

4. Click “Career and Development”

5. Click “Goals”

6. Click “Status Report”



Explanation

1. You can see the Status Report for

Marcus, then Click

2. Click “Sign off”

3. Click “Log on” by using Carta’s

(Marcus’ manager) account

4. Click “Manager Services”



Explanation

1. Click “To Dos” to check manager’s

to do work


3. Click “Performance Review for

Marcus Hoff”

4. Click “Goals”



Explanation

1. Review Marcus’ Goal and then

Click


3. Click “Reports” and then Click

“Analytics”



Explanation

1. Note: There should show the

analytics report, but this demo

doesn’t have the report.

2. Click to close the page.


4. Click “Talent Management” and

then Click “Succession Planning”



Explanation

1. Succession Org Chart will show,

manger can use this to arrange

successor for employees

2. Click to close the page

Exercise 3Investigate - SuccessFactors Workforce Analytics


Investigate - SuccessFactors Workforce Analytics (1/9)

Explanation

1. 2.1.1 BestRun finds that they need

to analyze their retention based on

a gender analysis as a part of

diversity and inclusion

2. Click “2.1.1”

3. Click “Investigate”

4. Click “New”



Explanation

1. 2.1.2 Investigate External Hire

Rate by Gender

2. Click “2.1.2”

3. Search external and Click

“External Hire Rate”

4. Search gender and Click “Gender”



Explanation

1. The chart area shows the chart of

“External Hire Rate” with the

metric “Gender”

2. Click “Tab1”

3. Rename the Canvas and then

Click “Save”



Explanation

1. 2.1.3 Further Investigation –

Retention Rate by Gender

2. Click “2.1.3”

3. Click to Add a new tab

4. Search retention and Click

“Retention Rate”

5. Search gender and Click “Gender”



Explanation


“Retention Rate” with the metric

“Gender”

2. Click “Rename” to rename the

canvas and then Click “Save”



Explanation

1. 2.1.4 Further Investigation –

Retention Rate by Gender and

Supervisor

2. Click “2.1.4”

3. Click and then Click

“Duplicate” to duplicate the tab

4. Click to remove metric “all

time periods”



Explanation

1. Search “sup” and then Click

“Supervisor”

2. Click “Daniel Cortez”


“Retention Rate” with the metric

“Gender” and “Daniel Cortez”

4. Click “Analyze”



Explanation

1. Close “Forecast”

2. Click “Column” as the analyze

chart

3. Click “Add to Collection”



Explanation

1. Click “Add”

2. Click to see

collections

3. Click to View and share the

"Collection"


Course Summary


✓ Create vacant position in SAP

✓ Create a Leave request

✓ Create a Workforce Analytics page

Thank you.

PUBLIC


Hands onCustomer Engagement Cloud


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Scenario

▪ Exercises

– Applying for a Credit Card in SAP Hybris Commerce

– Providing Service for the Customer in C4C(Cloud for

Customer)

Agenda


Course Goals


• Be able to apply a credit card in SAP Hybris Commerce

• Providing Service for the Customer in C4C (Mortgage)

Scenario


Scenario

Emma gets her credit

card, but she still needs

a large amount of money

to pay the house rent

near the MBA college.

Hybris Banking Cloud for Customer

Emma

Chris help Emma

apply mortgage with

Cloud for Customer,

only a few steps and

then Emma get her

mortgage quickly.


I successfully applied

an MBA program, but

I need some money to

cover education fee.

Emma could apply for a

Credit Card in SAP

Hybris Commerce, just

with a few clicks, it will

be done.

Need more money

Exercise 1Applying for a Credit Card in SAP Hybris Commerce


Applying for a Credit Card in SAP Hybris Commerce (1/5)

Explanation

1. Click the vertical scroll bar to

display the desired screen area

2. Click the Hybris Bank banner

3. Click the vertical scroll bar to

display the desired screen area



Explanation

1. Click “Start Application”

2. Click “Buy”

3. Then it goes to the personal details

page



Explanation

1. Fill out all the information needed

2. Click the arrow to open the drop-

down list for the Country field

3. Select United States



Explanation

1. Click “Continue”

2. You can see Quote Review, Click

“Continue” to move forward

3. Click “CONFIRM” to confirm all the

information



Explanation

1. Click “Complete Application”

2. The application has been sent

Exercise 2Providing Service for the Customer in C4C(Cloud for

Customer)


Providing Service for the Customer in C4C (1/9)

Explanation

1. Click “Log on” to SAP Cloud for

Customer by using chris.lee’s

account

2. Click “SERVICE”

3. Click “TICKETS”

4. Click the arrow next to Tickets:

Tickets From Last 7 Days (10) to

open a drop-down list.



Explanation

1. Click “All Tickets”

2. Click “5157”

3. Click

4. Click “ACTIVITIES”



Explanation

1. Click “New”

2. Enter “Tom Benson” in the

Account field

3. Enter John in the Owner field.

4. Select John Davis



Explanation

1. Click “Save”

2. Click to log out

3. Click “Yes”

4. Click “Restart Application”



Explanation

1. Click “Log on” to SAP Cloud for

Customer by using john.davis’

account

2. Click “ACTIVTIES”

3. Click

4. Click “More”



Explanation

1. Click “Tom Benson”

2. Click “...” in the tab bar in the upper

part of the screen.

3. Click “yMarketing Account Info”



Explanation

1. You should be able to see the

customer fact sheet in SAP Hybris

Marketing without having to log on.

2. Click button to close the

window

3. Click button again to close the

window

4. Click “SERVICE”



Explanation

1. Click “TICKETS”

2. Click “5157”

3. Click “Web Services”



Explanation

1. Click Launch Mortgage Application

online

2. Click anywhere on the screen to

end the scenario


Course Summary


✓ Be able to apply a credit card in SAP Hybris Commerce

✓ Providing Service for the Customer in C4C (Mortgage)

Thank you.

PUBLIC


Hands onAriba


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Scenario

▪ Exercises

– Create request for quotation (RFQ) in SAP ECC

– Process & Publish event in Ariba Sourcing

– Submit Supplier’s Bid

Agenda


Course Goals

This course will prepare you to learn：

• Easy integration with SAP ECC and Ariba

• Simple Web interface for Suppliers via Ariba Supplier Network

• Create a Strategic Sourcing Request in ECC

• Process & Publish event in Ariba Sourcing

• Submit Supplier bids

Scenario


Scenario

Once the quote is sent

out to bid, suppliers

response and the bids

are analyzed.

Ariba Analyze…..

ECC

The buyer can then use

the SAP Ariba solution to

draft the contract using

SAP Ariba Contract

Management or simply

make an award based on

the quotes received.


This scenario will show an

integrated Source-to-Pay

process flow between

ECC and Ariba.

It begins by creating a

quote in ECC but using

standard integration that

quote is delivered to the

SAP Ariba Sourcing

solution so it be

collaborated on with the

suppliers over the Ariba

Network.

The SAP Ariba Solution

Exercise 1Create request for quotation (RFQ) in SAP ECC

In this scenario, we will create an RFQ in ECC

and send to Ariba to be sourced. We will then

have the awarded bid sent back to ECC as a

Contract or a PO.


Create request for quotation (RFQ) in SAP ECC (1/5)

Explanation

1. In our first step, we will create an

RFQ in ECC and then have it sent

to Ariba.

2. Access to ECC, and Log in with

User name and password.

3. Type in T-code ME41.

4. Access to the page: Create RFQ

Initial Screen.



Explanation

1. Type in RFQ Type “SSR”.

2. Fill out Quotation Deadline, Use a

date that is few days out, but

before the Delivery Date.

3. Fill out Purchasing Group “002”.

4. The Regional Plant and Storage

Location field is filled out.

5. Fill out the Delivery Date. The Date

needs to be after the Quotation

Deadline Date.


Header Data.



Explanation

1. Type in Coll.No. “FreeTXT02”


Item Overview.



Explanation

1. Material: PROC-DC-PC-0063

needs to be filled out and Hit Enter.

2. Type in RFQ Quantity “10”.

3. Click Vendor Address button or

Y\you can also press F7 to access

to the page : Create RFQ Vendor

Address



Explanation

1. Type in the information needed in

the page, including Vendor, Name,

Search Terms, Street Address and

so on. All the information are

maintained as vendor address.

2. Click Save, RFQ is Created.

3. The RFQ created in SAP ECC has

been pushed into Ariba Sourcing

in the form of a Sourcing Request.

Exercise 2Process & Publish event in Ariba Sourcing


Process & Publish event in Ariba Sourcing (1/11)

Explanation

1. In this step of the demo, we are

going to login to Ariba Sourcing as

the Strategic Purchaser to review

and publish the Sourcing Request

so the suppliers can respond later.

2. Log in with User name and

password

3. 6000002448 is entered in

Sourcing Request. Then click



Explanation

4. Open the Search Result.

5. In a productive environment, the

Buyer would need to complete the

Tasks listed, but for this scenario

we will mark them complete and

move on.



Explanation

4. Click , Click

then Click



Explanation

9. For task “Approval for Sourcing

Request”, view task details.

10. We will select a Fixed Date to

inform the Approver of the urgency.

11. Click

12. Select a date a few days in the

future, but before the Delivery

Date you asked for.



Explanation

11. Message field is filled out, and

then click Submit.

12. View Task Details again, check

Approval Flow. Then Click



Explanation

11. Click Documents, then open

Sourcing Project.

12. Choose Quick Project



Explanation

11. Choose Event Type to “RFP”.

12. Scroll Mouse wheel down to bring

the screen to desired location, then

Click Request for Proposal

13. Click



Explanation

11. Click , Choose a future date,

then Click

12. If you wanted to add other

participants to this event, it could

be done here (Picture 2), For this

scenario, we will skip this option.

13. Click



Explanation

11. Click , Enter in

the name of the first Supplier.

12. Digistorage is entered to search.

13. Click the check box, then Click OK



Explanation

11. Click .

12. Edit the Pump Centrifugal 1/3hp

13. Choose Commodity

14. Then Click



Explanation

11. Click .

12. Click , Then the Event

will be published

Exercise 3Submit Supplier’s Bid


Submit Supplier’s Bid (1/5)

Explanation

1. In this section, we will log in as the

Supplier in the Ariba Network's

Supplier accounts. The Supplier

will review the Bid invitation and

respond back to the Buyer.

2. Log in with User name and

password.

3. Click and Choose

“Proposals”



Explanation

1. If you are looking at the Proposals

from the corresponding realm,

select the realm you originated

from. Upon see a new Bid

Invitation, the Supplier will now

open the Sprucing Project and

reply back to the Buyer with their

offer.

2. Choose to Expand the

Status: Open section (not shown)

to find your Bid Invitation.



Explanation

1. Click

2. Click “I accept the terms of this

agreement.”.

3. Click



Explanation

1. Click to submit the

agreement.

2. After agreeing to the terms, the

Supplier will now select the item(s)

which they want to bid on.

3. Click , then Submit Selected

Lots.

4. Fill out the contents, then click

and



Explanation

1. Click

2. Then choose to log out.


Course Summary


✓ Be aware of a completely integrated Source-to-Pay process

flow between ECC and Ariba

✓ Create a Strategic Sourcing Request in ECC

✓ Process & Publish event in Ariba Sourcing

✓ Submit Supplier bids

Thank you.

PUBLIC


Hands onConcur


Section Exam

Section Exam

Section Exam




2 hours



HANA

2 hours

Hands-On


2 hours

Hands-On


2 hours


Networks


2 hours

Hands-On

SuccessFactors

2 hours

Hands-On


2 hours


– SAP Leonardo


2 hours

Hands-On


2 hours

Hands-On

Leonardo UX/Mobile

2 hours

Hands-On

Leonardo Big Data

2 hours

Hands-On

Leonardo IoT

2 hours



Solution Manager

2 hours


Jumpstart


2 hours


Design Thinking

4 hours



4 hours



Platform

8 hours



4 hours


HANA Overview

2 hours


Basic Modelling

2 hours



2 hours



2 hours

Hands-On

Leonardo Analytics

2 hours



2 hours



2 hours

Hands-On

Ariba

2 hours


Hands-On


2 hours

Section Exam

Section Exam

Notes:

1. Hands-on by

default is

supposed to be

covered by WPB

hands-on file.

2. In semester 2,

Beside design

thinking and final

presentation,

courses with

more than 2

hours will be

spited

Hands-On

Concur

2 hours

Lecture

Hands-On

Exam

Section Exam


▪ Scenario

▪ Exercises

– Travel Request

– Expense

Agenda


Course Goals

This course will prepare you to learn：

• How to create a trip

• How concur T&E ensures greater policy compliance and gain

visibility with Reporting

• What kind of features does concur have

Scenario


This demo covers an end to end process of Integrated Travel and Expense scenario. The demo

lists the steps about how to create a trip, maintain travel preferences, expense a trip and highlights

how concur T&E ensures greater policy compliance and gain visibility with Reporting.

To streamline processes and gain control over spend, businesses of all sizes are automating the

management of their travel and expense programs to gain insight into their spending, improve

efficiencies, and reduce costs. Automation offers an efficient, consistent process, configured for

local differences. And with regulatory concerns and the need for cost control higher than ever, end-

to-end travel and expense management solutions provide the transparency required to monitor

compliance and track spend.

Demo Description


Scenario

With Concur’s mobile

application, you can

create, review and

approve expense reports

and book and change

your travel itinerary –

hotels, airfare, taxis, rail

and rental cars – all from

smartphone.

No more paper Be mobile All-in-oneMake it simple

Concur pulls all the

pieces of travel and

expense

management together

into one system with

a simple, single sign-

on.


Concur offers

electronic receipts

directly from airlines,

hotels, car rental

companies and taxis,

virtually eliminating the

need to track and

manage paper

receipts.

Quick expense

reports

Concur

automatically

populates your credit

card and travel

purchases into your

expense reports, so

completing them is

quick and easy.

Concur simplifies your

travel and expense

process by

automating and

managing travel

booking and expense

reporting in an easy-

to-use, end-to-end

system.

Exercise 1Travel Request


Travel Request (1/8)

Explanation

1. Click “Profile”

2. Click “Profile Settings”

3. Choose “Setup Travel Assistants”



Explanation

1. Admin, Ursula is your assistant,

Click “Save”.

2. Click “Concur” to back to the home

page.

3. Fill out the travel information, such

as Destination, Departure Time,

Return Time, Airport pick off, Hotel,

etc. and then Click “Search” to get

the search result.



Explanation

1. Choose the sort order by “Policy –

Most Compliance”

2. Choose the first option, and Click

“Show details”.



Explanation

1. Try to choose the second option,

Click “Select”

2. There is an alert said that it was

not in compliance with the travel

rule, so Click “Cancel”.

3. Then we choose the first option.



Explanation

1. Make sure we are clear about the

information of the ticket, then click

“Reserve Flight and Continue”

2. In the Car rental page, Click the

first option to move forward.



Explanation

1. Review Price Summary, then click

“Reserve Car and Continue”

2. In the Hotel booking page, Click

the “Green label” option you prefer,

and Click “Select” to move forward.

3. Review Price Summary, then click

“Reserve Hotel and Continue”



Explanation

1. Review Total estimated cost and

Click “Next”.

2. Review Trip Booking Information

and Click “Next”.

3. Then you can see your trip task

from the homepage, Click the trip

to get your Travel Itinerary.



Explanation

1. Review the travel Itinerary, and

“Approve” the travel.

Exercise 1Expense


Expense (1/10)

Explanation

1. In the “Travel” tab page, you can

find upcoming trips and view the

“Expense”

2. Then we can see the expense

detail page, Click Hotel to deep

dive to the expense page.


Expense (2/10)

Explanation

1. “Minibar/Movie” is personal

expense, so Click it and Click

“Cancel” to remove from the

Expense.

2. Choose “Car Rental”, there is an

alert shows that “Corporate policy

is to refuel rental prior to drop off,

please enter comment as to why

you did not refuel.”

3. Then Type in comment.

4. Click “Save” to save the notes。


Expense (3/10)

Explanation

1. Click “E-Receipt”

2. Then Click “Quick Expenses”

3. Filled out some quick expenses

and then Click “Save”


Expense (4/10)

Explanation

1. For Dues/Membership Fees, Click

“Available Receipts”, We can

check uploaded receipts.

2. Click


Expense (5/10)

Explanation

1. For Dues/Membership Fees, Click

“Allocate” to Allocate this fee to

different

2. Click “Save” to finish the allocation.


Expense (6/10)

Explanation

1. Click “Business Meal(attendees)”

to create a new expense of

business meal.

2. Click “Add” to add attendees of the

meal.

3. “Favorites” contains attendees

collected.

4. Choose the attendee, then Click

“Add to Expense” to save.


Expense (7/10)

Explanation

1. Click “Personal Car Mileage” to

create a new expense of Personal

Car Mileage.

2. Then Open the “Mileage

Calculator”


Expense (8/10)

Explanation

1. Fill out needed information to

calculate the personal car mileage

and cost.

2. Click “Add Mileage to Expense”

3. Click “View Reimbursement Rates”

to see how much you can get per

mile, then Click Save.


Expense (9/10)

Explanation

1. Final Review, Click “Accept &

Submit” to submit the expense.

2. Then go back to homepage, Click

“Approvals”


Expense (10/10)

Explanation

1. Click the report you want to check.

2. You can check each item’s receipt

and expense.

3. Click “Approve” to approve the

expense.


Course Summary


✓ Create a Trip Request with compliance

✓ Create an Expense Request

Thank you.