bi207- sap business suite operational analytics integrating in-memory technology

Dr. Christian Dressler / TIP In-Memory Platform BW

BI 207

SAP Business Suite Operational Analytics Integrating In-Memory Technology

© 2011 SAP AG. All rights reserved. 2

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Agenda

Next Generation Operational Analytics

Introduction into technological aspects of Operational Data Provisioning

What are Operational Data Providers

BWA acceleration ‚out of the box‘

Integration with NW Enterprise Search

Demo based on BS7i2011 business content

Outlook – mobile consumption and evolution towards SAP HANA


Next Generation Operational Analytics –

Operational Data Provisioning

Operational Analytics directly in the

Backend

Real Time Data Access – no latency

Implement one interface independent of

consumption

Enable any type of analytical UI (state of

the art BOBJ frontends)

Easy scale out to in-memory technology

ODP framework

Be prepared for mobile consumption

>500 ODPs

in FIN,

HCM, SD,

MM, SRM,

SNC,

Oil&Gas,

MDG

Technology

NW 7.03

Operational

Analytics

Application

BS7i2011

Goals

De

live

ry


Oth

er

co

nsu

mers

Data

Pro

vis

ion

ing

An

aly

tic

s

& S

earc

h

Fro

nte

nd

s

Data Provisioning for Search and Analytics

Operational Analytics Architecture in BS7i2011

Search

Result List

BOBJ

Explorer

List Report

UIBBChart UIBB

BEx /

Advanced

Analysis

Crystal

Report

Web

Intelligence

Xcelsius

Dashboard

Analytic QuerySearch

Request/

Response

Analytical

Services

SOA, REST

BWA (TREX)

Search &

Analytics

Model

DataSourceETL

Consumers

Operational Data Provider (ODP)

SearchData

Browsing

List

ReportingCharting

Interactive

Analysis

Formatted

Reporting

Dash-

boarding

Ad-hoc

Reporting


Oth

er

co

nsu

mers

Data

Pro

vis

ion

ing

An

aly

tic

s

& S

earc

h

Fro

nte

nd

s



Search

Result List

BOBJ

Explorer

List Report

UIBBChart UIBB

BEx /

Advanced

Analysis

Crystal

Report

Web

Intelligence

Xcelsius

Dashboard


Request/

Response

Analytical

Services

SOA, REST

BWA (TREX)

Search &

Analytics

Model

DataSourceETL

Consumers


SearchData

Browsing

List

ReportingCharting

Interactive

Analysis

Formatted

Reporting

Dash-

boarding

Ad-hoc

Reporting


Structural elements for Analytic Query consumption

Master Data Attributes

Master Data Texts

Hierarchy

Transactional Data

/ Facts


The SAP NetWeaver BW picture

InfoCube or

InfoSet or …

Master Data Attributes

Master Data Texts

Hierarchy

InfoObject

(Characteristic)

InfoProvider


The Operational Analytics picture based on

Operational Data Providers (ODP)

Transactional ODP or

Master Data ODP or

ODP View

Transient InfoProvider

Master Data ODP

Texts ODP

Hierarchy ODP

Transient InfoObject

(Characteristic)

Customer Balances

KTOPL Chart of accounts

attribute

AKONT G/L Account

Number

KUNNR Customer Number

BUKRS Company code

CURTYPE Currency type

FISCPER Period/year

FISCVAR Fiscal year variant

GJAHR Fiscal Year

PERIO Period

CURRENCY Currency Key

UM01H Total credit

postings

UM01K Accumulated

balance

UM01S Total debit postings

UM01U Sales of the period

KTOPL Chart of

accounts

attribute

SAKNR G/L Account

Number

BILKT Group Account

Number

GVTYP P&L Statement

Account Type

…

G/L Account Number


attribute

KKTPL Group Chart of

Accts

Chart of accounts

Customer Number

KUNNR Customer

Number

ADRNR Address

ANRED Title

…

BUKRS Company

Code

LAND1 Country

WAERS Currency

Key

…

Company Code

Transaction Data/Facts

Master Data

G/L Account Texts

Texts

Master Data

G/L Account Hierachy

Master Data

Master Data

Company Code Texts

Texts

Customer Texts

Texts

KUNNR Customer

Number

TXTMD

BUKRS Company

Code

TXTMD

LANGU Language Code


attribute

SAKNR G/L Account

Number

TXTSH Short Text

TXTLG Long Text


Data Provisioning for ODPs based on

Extractors – single point of business logic implementation

business

documents

master data transactional data

BW DataSources

master data attributes

master data text

master data hierarchy

ESH data sources

ODPs

Extr

acto

rs

Business

Logic

ODP

Modeling

Data Provisioning

for Search & Analytics


ODP Interface

"ODP SQL" ↔ ODP API

IR_SELECTION_SET {O:nnn*\CLASS=CL_RSMDS_...SET}

IT_FIELD_AGGREGATIONS

IT_SORT_DESCRIPTIONS

SELECT

matnr

vbtyp

meins

SUM( klmeng ) AS sum_klmeng

COUNT( * )

FROM 0ops_11_itm

UP TO 4 ROWS

WHERE matnr LIKE 'SD10%'

AND vbtyp IN ('C','H')

GROUP BY

matnr

vbtyp

meins

ORDER BY

matnr

sum_klmeng DESCENDING

FIELDNAME COMPONENT AGGREGATION_FUNCTION

MATNR

VBTYP

MEINS

KLMENG SUM_KLMENG SUM

* COUNT

I_ODPNAME 0OPS_11_ITM

FIELDNAME DESCENDING

MATNR False

SUM_KLMENG True

I_MAXIMUM_ROWS 4

I_NO_AGGREGATION False

'C' Orders

'H' Returns


ODP Interface

"ODP SQL" ↔ ODP API

IR_SELECTION_SET {O:nnn*\CLASS=CL_RSMDS_...SET}

IT_FIELD_AGGREGATIONS

IT_SORT_DESCRIPTIONS

SELECT

matnr

vbtyp

meins

SUM( klmeng ) AS sum_klmeng

COUNT( * )

FROM 0ops_11_itm

UP TO 4 ROWS

WHERE matnr LIKE 'SD10%'

AND vbtyp IN ('C','H')

GROUP BY

matnr

vbtyp

meins

ORDER BY

matnr

sum_klmeng DESCENDING

FIELDNAME COMPONENT AGGREGATION_FUNCTION

MATNR

VBTYP

MEINS

KLMENG SUM_KLMENG SUM

* COUNT

I_ODPNAME 0OPS_11_ITM

FIELDNAME DESCENDING

MATNR False

SUM_KLMENG True

I_MAXIMUM_ROWS 4

I_NO_AGGREGATION False

'C' Orders

'H' Returns Result


Oth

er

co

nsu

mers

Data

Pro

vis

ion

ing

An

aly

tic

s

& S

earc

h

Fro

nte

nd

s



Search

Result List

BOBJ

Explorer

List Report

UIBBChart UIBB

BEx /

Advanced

Analysis

Crystal

Report

Web

Intelligence

Xcelsius

Dashboard


Request/

Response

Analytical

Services

SOA, REST

BWA (TREX)

Search &

Analytics

Model

DataSourceETL

Consumers


SearchData

Browsing

List

ReportingCharting

Interactive

Analysis

Formatted

Reporting

Dash-

boarding

Ad-hoc

Reporting


Data replication – BWA acceleration ‚out of the box‘

transactional data

BW DataSources

master data attributes

master data text

master data hierarchy

BWA

(TREX)

Operational

Delta

Queue

ODP data

replication

API (ETL)

Indexing

ProcessESH data sources

Data Provisioning

for Search & Analytics

Extr

acto

rs

Business

Logic

business

documents

master data


Integration with NW Enterprise Search

Common design time for Search and Analytics

models

Import of BW DataSources

ODP properties and associations between ODPs

Extensibility of Business Content

Common administration of BWA indexing

Periodical job scheduling

Near real-time data replication

Data latency < 1 min can be achieved

Shared BWA persistency (physical indices) within BWA 7.20

Administration Cockpit

Modeler for Search and Analytics


ODP Content Overview SAP Business Suite 7 Innovations 2011

Area Topic

HCM E-Recruiting, Learning Solution, Time Management

FIN Cost Center Accounting, Accounts Receivable, Accounts Payables, G/L, Product Costing, ...

SDSales Documents (e.g. Quotations, Sales Orders), Deliveries, Billing Documents (e.g. Invoices, Credit

and Debit Memos)

MM Purchasing Analysis, Inventory Analysis

CRM Opportunity, Sales Order

SRM Purchasing Documents, Procurement Efficiency

SCM (SNC) Supply-Base Performance Analysis, Direct Performance Analysis

MDG Master Data Governance

PMA Business Process Performance Management

OPM (Oil & Gas) Production Volumes, Downtime, Measurements & Well Tests

IS-H Patient Case, Patient Movement type / Diagnosis / Procedure, Bed Information(Healthcare

Country Version CN)

(Process Monitoring

& Analytics)

Demo

https://ldciq6t.wdf.sap.corp:44322/nwbc/ZOPERATIONAL_REPORTING/?sap-nwbc-node=root&sap-client=802&sap-language=EN&sap-user=FINREP1&sap-password=welcome3


Demo


List GUIBB for Customer balances reporting leveraging

SAP Crystal Reports formatting


Modeler for Search and Analytics


Sales: Manage my work / Sales Pipeline – in a dashboard


Scheduling of BWA Indexing


SAP Business Objects Analysis on BWA


Enterprise Search on indexed data


ODP Join – a special join pattern

Opportunity Opp. Item

O1 I1

I2

O2

O3 I3

Opportunity Sales Order

O1 S1

O2 S2

S3

O3

Example: CRM ODP model with 1:n and cross BO relations


ODP Join – key figure semantic

Native

Join

ODP Join

pattern

Opportunity Opp. Item Sales Order Expected Revenue

Product Value

Number of Opportunities

Number of Successor Sales Orders

O1 I1 S1 10.000 € 4.500 € 1 1

O1 I2 S1 10.000 € 5.000 € 1 1

O2 I3 S2 2.000 € 1.900 € 1 1

O2 I3 S3 2.000 € 1.900 € 1 1

O3 I4 # 7.000 € 7.000 € 1 0

Result 31.000 € 20.300 € 5 4

Opportunity Opp. Item Sales Order Expected Revenue

Product Value

Opportunity to Sales Order Conversion Rate

Number of Opportunities

Number of Successor Sales Orders

O1 # S1 0 € 0 € 0% 0 1

I1 # 0 € 4.500 € 0% 0 0

I2 # 0 € 5.000 € 0% 0 0

# # 10.000 € 0 € 0% 1 0

Result 10.000 € 9.500 € 100% 1 1

O2 # S2 0 € 0 € 0% 0 1

S3 0 € 0 € 0% 0 1

I3 # 0 € 1.900 € 0% 0 0

# # 2.000 € 0 € 0% 1 0

Result 2.000 € 1.900 € 100% 1 2

O3 I4 # 0 € 7.000 € 0% 0 0

# # 7.000 € 0 € 0% 0 0

Result 7.000 € 7.000 € 0% 1 0

Result 19.000 € 18.400 € 66% 3 3


ODP Join – demo


Easy consumption of Analytic Queries

Analytic Query

ABAP BICS

‚Easy Query‘

Gadget‚Gateway‘

(REST)


Operational Analytics evolution in the context of SAP HANA

SAP HANA

as operational data mart

(first evaluation)

SAP HANA

in addition as database

for new applications

SAP HANA

in addition for

ODP indexing

SAP

HANA

X

DB

No ODP technology

available

BWA and HANA used

side by side

ODP using HANA

infrastructure for

performance acceleration

New Applications can also use

structured data provided by ODP

Up to BS 7i2010

(NW 7.02)

No ODP technology

As of BS 7i2011 (NW 7.03)

ODP technology available

Analytical

Frontends*

SAP

HANA

ERP with

ODP

X

DB

Analytical

Frontends*

BWASAP

HANA

ERP

X

DB

Analytical

Frontends*

Analytical

Frontends*

ERP with

ODP

Analytical

Frontends*

SAP

HANA

X

DB

Analytical

Frontends*

ERP with

ODP

Analytical

Frontends*New Apps

* Available analytical frontends depend on release and underlying technology


Summary

With NW 7.03 and Suite 7i2011 ODP

is the established framework for

operational analytics

Outlook

Minute range latency for BWA/HANA

(Real time indexing)

Productize Mobile Analytics

Easy Scale out to BW

Deliver analytical packages including

BOBJ content as Rapid Deployment

Solutions (RDS)

Next Generation Operational Analytics –

Summary and Outlook

Operational Analytics directly in the

Backend

Real Time Data Access – no latency

Implement one interface independent of

consumption

Enable any type of analytical UI (state of

the art BOBJ frontends)

Easy scale out to in-memory technology

Be prepared for mobile consumption

Goals


Further Information

SAP Public Web:

SAP Developer Network (SDN): www.sdn.sap.com

Business Process Expert (BPX) Community: www.bpx.sap.com

Related Workshops/Lectures at SAP TechEd 2011

BI 102, Insight to Action: Empowering Your Business Suite Users with Analytics, Lecture 1h

CD 203, Configuration and Adaptation of Applications with the Floorplan Manager, Lecture 2h

http://www.sdn.sap.com/

http://www.bpx.sap.com/

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Thank You!

Contact information:

Dr. Christian Dressler

Development Manager

SAP AG, Dietmar-Hopp-Allee 16 69190 Walldorf, Germany

[email protected]

+49 6227 762108

mailto:[email protected]

Appendix


ODP properties for Analytic Query consumption

Characteristics vs. Key Figures

Aggregation of Key Figures

Selection fields

Special semantics, e.g. fisc per, month

Authorization

Key (obligatory)

Opt. time dependent

Special semantics language, text

Transactional ODP or

Master Data ODP or

ODP View

Key (obligatory)

Navigation attributes (slice and dice)

Opt. time dependent, temporal join

Projections / Roles

Master Data ODP

Texts ODP


Full support of complex hierarchies

Hierarchy ODP at runtime derived as a composition from

nodes (hierarchy segments) that are associated to

Master Data ODPs

– Header

– Header Texts

– Elements

– Folder Texts (for folder-like Elements)

– Optional element extension for intervals

Opt. time and version dependent

Caching of Hierarchies by the Analytic Engine if update

timestamp is supplied by the Hierarchy Header

Hierarchy ODP


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bi207- sap business suite operational analytics integrating in-memory technology

Technology

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