adidadhana_poc

8/13/2019 AdidadHANA_Poc

1/14

Increase the Value in Your

Enterprise with SAP HANA


2/14

Agenda

Introductions and Objectives

adidas SAP HANA POC adidas Current BI Landscape

and Future Plans

SAP HANA Impact to adidas

IT Strategies

SAP HANA Impact to adidas

Business Users

Session Q&A


3/14

IT Experience

Human Experience

Business Experience


4/14

Value

Complexity

think bigthink immediate

Speed Make existing

reports or

programs run faster

Analytics in real-time

Volume and

Integration

Enable processes or

reports not possible with

legacy systems

Combine data sources

previously too large to

analyze

Optimization

Business process

reengineering

Applications created

specifically for HANA

Transformational initiativ


5/14

Follow-up PoC was triggered HANA Information Models (A

views)

Data management still within

BW Landscape

ETL modeling, scheduling,

BW InfoProviders (DSOs) exp

HANA Information Models Frond-end Reporting tools ac

HANA Information Models via

Phase II - SAP HANA InformationModels

Manually Generated Calc Views

SAP HANA Generated Analytic Views

SAP NetWeaver BW Managed Physical Tables

MSTR Metadata SAP BO Universe Analysis Explorer

SQL Based access

Front End Tools

Implementation of Functional busin

BW InfoProvider based modeling w

End to End Process implementatio

Staging and Reporting

Observations:

Full power of HANA was not revea

ABAP stack was observed to be th

load ETL processes

No adequate support for BI as a S

Performance impact for certain que

Follow up POC basedHANA Information Mode

Phase I - SAP NetWeaver BW on S


6/14

SAP HANA Information Model

orientation enables

Flexible local data integration

Shift of logic processing from ABAP

into memory

View Concept enables a centricmetadata layer

Proven Benefits

SAP H

fully le

view m

SAP N

speed

faste

faste

faste

(up

Frontend and Reporting

Certain core modeling features of

BEx not supported in relational

Front-end Tools Creates challenges especially for

Financial P&L reports

SAP HANA built in features are not

(yet) fully usable from all Front-end

Tools

Improvement Areas

SAP H

Cert

sup

Exe Mod

for i

NLS S

data c

no BW

is yet a

Autho

mature

BW


7/14

Global BI Local BI ToolsOperational Data

Feeds

Local

Global

Retail DWH

Global

Wholesale

DWH

Integrated

Business

Planning

Analytical DB

Global Source Systems

Low acceptance in

Markets due to

missing localcomponents and

Usability Rep

Logi

resu

versGlobal BI data

distributed over 2

physical boxes

No Integration of

Planning data with

Historical data

Extra Accelerator

hardware required for

Query acceleration


8/14

Global BI Local BI ToolsOperational Data

Feeds

Local

Global

Retail

DWH

Global

Wholesale

DWH

Integrated

Business

Planning

Analytical DB

Global Source Systems

Global Data warehouse

for Wholesale and Retail Data

+Global Planning Engine

SAP HANA Information ModelsGlobal Metadata Layer Standardized KPI Definitions

+Master Data

Global BI Business Layer

SAP Netweaver

BW managed

Architected,

Developed, Governed

and Supported by

Global IT

Ensuring One Version of

the Truth to all Information

Consumers

Integration of Metadata modeling

in DB allows DB specific tuning

and usage of Built-in

Functionality

Integrated DB for Actuals and

Planned data Enabled through

SAP HANA Scale out scenarios


9/14

Global Data warehousefor Wholesale and Retail Data

+Global Planning Engine

Local Data Schemas

Global DataLocalData

Market Datawarehouses

9

Operational Data

Feeds

LocGlobal Source Systems

SAP HANA Information Models

Global Metadata Layer Standardized KPI Definitions+

Master Data

SAP

HANA

Local BI ToolsGlobal BI Reports


Local Information Models


Global

Standard

Reports

Local Business La

Global BI

Frontend PlatformBI Self Services:

No specific data

model know-how

required for reportcreation

Managed by

Global IT

Agile Metad

integration

Markets an

No BW skil


10/14

Operational Data Feeds


Global Data Warehouse

Global Standard Reports Local Reports


Local Business Layer Add on

Global BI

FrontendPlatform

Unstructured Data

Data Mining an

Predictive Analy

Global Source Systems Local Source Systems


11/14


Global Data Warehouse

Unstructured DataGlobal Source Systems Local Source Systems

Operational Data Feeds Global Standard Reports Local Reports

Global BI

FrontendPlatform


Local Business Layer Add on

Data Mining an

Predictive Analy

Further complexity

reduction due to

elimination of ETL

processes

Reporting need

more and more

Real time

Integration of Global Source Systems

onto SAP HANA will drive OVotT

furtherconsistency in source

system processes


12/14

Opening BI platform for a wide variety of receivers

key accounts, operational feeds to othe

Efficiency (datadoesnt have to be

captured from

multiple sources,

no debating about

correctness of

data)

Consistency asbasis for solid

decision making

One Versionof the Truth

(OVotT)

Lowering

TCO

Increasing

Agility

Less tools andinterfaces

Less Data and

Logic replication

Less KSR (Keep

Systems Running)

/ Operations cost

Fasterdevelopment

(through less

layers and less

programming

involved)

Faster remode

(through highe

virtualization)

Faster data

operations (in

memory data)

Leaner proces

through BI selfservice capabi

SAP

HANA


13/14

SAP

HANA

Getting data andanalytics closer to

business

Enabling markets

to leverage data

from standardized

BI platform while

having the ability

to enhance it with

local content

BI as aService

(BIaaSS)

PlanningData Mining /

Analytics

Based on historicaldata

Streamline current

planning process

Increase Forecast

accuracy through

AdvancedPlanning

techniques

Integration of

Strategic, Tacticaland Operational

Planning

Unstructured

Social Media A

Enhancing th

coming from

Real Time Dat

Analytics


14/14

THANK YOUwww.infosys.com

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