EIM Solution Architecture - Product Portfolio - Part IV of IV

Enterprise Information Management Solution Architecture

EIM Product PortfolioPart IV of IV

Customer Insight and Action

Oct, 2010

© SAP AG 2010. All rights reserved. / Page 2

Legal Disclaimer

This presentation outlines our general product direction and should not be relied on in making a purchase decision. This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this document and shall have no liability for damages of any kind that may result from the use of these materials, except if such damages were caused by SAP intentionally or grossly negligent.

Part I: EIM Solution Guide Objectives EIM in BI – What is covered From Need to Solution EIM Product Portfolio EIM Product Solution Matrix

Part II: EIM Solution Architecture Guideline From Solution to Execution Customer System Landscape Types Architecture Recommendations for Landscapes I - V

EIM Solution Architecture Contents

Part III: HANA and Sybase From Solution to Execution Positioning of HANA and Sybase IQ HANA Properties and Architecture Sybase IQ Properties and Architecture

Part IV: EIM Product Portfolio EIM Product Solution Matrix SAP BusinessObjects Data Services SAP BusinessObjects Data Federator / Semantic

Layer SAP BusinessObjects Metadata Management /

Information Steward SAP BusinessObjects Rapid Marts SAP NetWeaver BW, BWA SAP NetWeaver MDM, MDG



The EIM Solution Architecture reveals recommendations how EIM products can be positioned at given customer landscapes. This part IV summarizes the features and capabilities of EIM products that are applied in parts I, II und III of the EIM Solution Architecture.

Goal of the EIM Solution Architecture


SAP Provides A Complete Approach To EIMEncompassing People, Process & Technology

Create Monitor

Enterprise Information Management

Executive Sponsor

Line of BusinessOwners

IT

Data Steward

Data Integration &

Quality Management

Master Data Management

Content & InformationLife-Cycle

Management

Data WarehouseManagement

PR

OC

ESS

PEO

PLE

TEC

HN

OLO

GY

Cleanse Integrate Manage Govern Archive


EIM Solution Architecture EIM Products covered

Product Version Next Version Abbrev.

SAP BusinessObjects Data Services XI 3.2 4.0 DS

SAP BusinessObjects Data Quality (part of DS)

XI 3.2 4.0 DQ

SAP BusinessObjects Data Integration (part of DS)

XI 3.2 4.0 DI

SAP BusinessObjects Data Federator XI 3.0 Semantic Layer (SL) 4.0 DF / SL

SAP BusinessObjects Metadata Management XI 3.1 Information Steward 4.0 MM/IS

SAP BusinessObjects Rapid Marts XI 3.2 n / a RM

SAP Business Warehouse Accelerator 7.20 n / a BWA

SAP Business Warehouse 7.01 7.02, 7.3 BW

SAP HANA 1.0 1.5; 2.0 HANA

Sybase IQ Sybase IQ

SAP Master Data Management 7.1 SP5 7.1 SP6 MDM

SAP Master Data Governance EHP5 SAP ERP MDG

Data Integration &

Quality Management

Data WarehouseManagement /

Data Mart







XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart



EIM Product Portfolio Solution MatrixWhich EIM Product fits to your Solution Approach?

Solution Approach SBOP Data Service

SBOP DF

SBOP MM / IS

SBOP Rapid Marts

SAP NW BW SAP NW BWA

SAP NW MDM

SAP NW MDG

SAP HANA

Sybase IQ

Apply data quality and lineage

Adopt metadata management

Access high volume

Apply efficient and rapid data handling

Use open and extensible technologies

Deploy proven and pre-configured business content

Implement a lean a simple landscape

Focus on clear and standardized IT strategy

Access in real-time

Harmonize and govern your data

SBOP Rapid Marts

SAP NW Master Data

Mgmt.

SAP NW Business

Warehouse

SBOP Data

Services

SAP NW Master Data

Governance

SAP NW Business

Warehouse Accelerator

SBOP Data

FederatorSAP Hana Sybase IQ

SBOP Metadata Mgmt. /

Information Steward

fully implemented with reserve feature accomplished neutral, no impact feature not fullfilled


SAP Provides an Integrated End-to-End Information Management Platform

SAP NetWeaver BW

SAP NetWeaver BW

Data FederatorData Federator

Data ServicesData Services

Data Quality ManagementData Quality ManagementData IntegratorData IntegratorD

ata

Fo

un

dat

ion

SAP NetWeaver BW Accelerator

Master Data ManagementMaster Data Management

TextAnalysis

TextAnalysis

CRMCRM SCMSCM

SRMSRM PLMPLM

SAP Business Suite

ERP Financials Operations

Human Resources Corporate Services



Data Quality Mgmt

Data Quality Mgmt

3rd-Party Databases and Applications3rd-Party Databases and Applications

*SBOP Advanced Analysis (fka project Pioneer) planned for 2010

Me

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SAP NetWeaver PortalSAP NetWeaver Portal Any Portal, Any Destination

Any Portal, Any Destination

SAP BusinessObjects EnterpriseSAP BusinessObjects Enterprise

Crystal ReportsCrystal Reports Web Intelligence Web Intelligence XcelsiusXcelsiusOLAP client

(SAP BEx, Advanced Analysis*)

OLAP client (SAP BEx, Advanced Analysis*)

Info

rmat

ion

A

cces

s

ExplorerExplorer

Mobile BIMobile BI


SAP BusinessObjects Data ServicesIntegrate and Improve the Quality of All Data

Market-leading, unified solution for enterprise-class data integration and data quality Single, easy-to-use user interface to build,

test and deploy projects

Connect, transform and make the information available from virtually any source

Comprehensive data quality solution for cleansing and enriching all types of data

Scalable solution for high data volumes with high throughput (batch and real-time)

SAP BusinessObjects Data Services is a “leader” in the Data Integration and Data Quality Magic Quadrants from Gartner, as well as in the Data Integration Forrester Wave.

SAP has 5000+ customers on our Data Integration and Data Quality solutions.

“


SAP ERP, SAP CRM, SAP Master Data Management (MDM), SAP NetWeaver BW, …

Webservices

Shared MetadataImpact Analysis

Data Lineage

Da

ta p

rofil

ing

SAP BusinessObjects Data Services Architecture

DataServicesEngine

Data Auditing

Data Validation

DataCleansing

Files, XML,Mainframe, Excel, etc.

Oracle, SQL, DB2, etc.

PeopleSoft, Oracle Apps, Siebel, etc.

SAP R/3, SAP ERP,SAP NetWeaver BI

Query, Reporting,Analysis,and Dashboards

Data Migration, Synchronization, …

SAP NetWeaver BW


Further Information

SAP Public Web:

SAP Developer Network (SDN): http://www.sdn.sap.com/irj/sdn/ds

SAP Public Web-Site: SAP BusinessObjects Data Services

Related SAP Education and Certification Opportunities

http://www.sap.com/education/

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

http://www1.sap.com/solutions/sapbusinessobjects/large/eim/data-services/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart


EIM Solution ArchitectureEIM Products covered

© 2010 SAP AG. All rights reserved. / Page 14

What is Data Quality Management ?Guarantee Clean and Accurate Data

CONTINUOUS MONITORING

MEASURE

ANALYZE

PARSE

STANDARDIZECORRECT

ENHANCE

MATCH

CONSOL-IDATE

Data Assessment

Enhance

Data Cleansing

Match & Consolidate

Continuous Monitoring Data Cleansing: automatically

correct your data based on reference data and data cleansing rules

Address cleansing

Data Cleansing

Data Enhancement: enhance the data with additional attributes.

E.g. geocoding : adding latitude and longitude information

Match and Consolidate: finding duplicates and merging records into one consolidated record

Data Quality Management on the Data Services platform includes :


SAP BusinessObjects Data Services Profile, Cleanse, Match & Reconcile, Integrate via Single Platform

Real-time Via the application’s interface

SAP, Siebel, Informatica Custom Applications

Batch Internally, from within the SAP application Externally, for legacy migrations or data loads


SAP BusinessObjects Data Quality ManagementEnsures High Quality Data in all Applications

Enforces data discipline directly within CRM or ERP systems for customer, vendor, and business partner data

Virtually undetectable presence within the application – native look and feel

Extensive coverage for global postal validation processes - over 230+ countries

Advanced record matching strategies for duplicate prevention

DataQuality

External Systems

SAPERP/CRM

Human

Input

Prepackaged native integration of data quality best practices within SAP and non-SAP business applications

SAP BusinessObjects Data Quality Management has reduced data duplication in the customer database from 25% to less than 2%, and customer satisfaction has increased by 93%.”

Michael PrattData Integrity Manager, Business Link for London

“


Further Information

SAP Public Web:

SAP Developer Network (SDN): http://www.sdn.sap.com/irj/sdn/im

SAP Public Web-Site: SAP BusinessObjects Data Quality



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

http://www1.sap.com/solutions/sapbusinessobjects/large/eim/data-quality-management/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




What is SAP Data Integrator?

Data Integrator is a data integration and ETL tool. The product is commonly used for building Data Marts, ODS Systems, and Data Warehouses.

Key Product Features: Easy to use interface to design, test, and

debug jobs. Custom transformations Automated code generation and optimization

capabilities (SQL, ABAP…) Parallel and distributed processing Services-based architecture

enabling right-time data delivery


Data IntegratorConnectivity Sources

Broad connectivity to databases, applications, legacy, file formats, and unstructured data Import of “live” metadata from ERP system, including custom tables and other objects Support for ERP-specific data structures Metadata shown in business process-related way

Oracle DB2 Sybase & IQ SQL Server Informix Teradata ODBC MySQL Netezza

JD Edwards Oracle Apps PeopleSoft Siebel Salesforce.com SAP BI SAP R/3

– ABAP

– BAPI

– IDoc

Text delimited Text fixed width EBCDIC XML Cobol Excel HTTP JMS SOAP

(Web Services)

ADABAS ISAM VSAM Enscribe IMS/DB RMS Both direct and

change data

Any text file type 32 languages

Databases Applications Files/Transport Mainframe(with partner)

Unstructured Data


Use Criteria DI / PI

Criteria Process Integrator

Data Integrator Notes

Data Volume

Huge/Bulk DI can move huge amount of data (billions of records) in a non-transactional mode. PI can process a large number messages containing small amount of data efficientlySmall, in transactions/messages

Process Operation

Scheduled DI processing is typically scheduled, it does have capability to receive events via web services or other means and process these eventsEvent triggered

Data Latency Real-time to near Real-time Data latency with DI tends to be larger (in order of minutes)

Data Operations

Record and Set level – direct table, file, log access DI can process individual records or sets of them and is typically not application aware. PI is more suited for individual objects and is application aware.Object (Transaction) level – application APIs

Data Transformation Complex, multi-step, calculations and aggregationsDI does well in applying complex transformations needed for DW or data migration

Data Distribution Cardinality from source to target (transaction mode)

1:1

Complex data propagation from a number of sources to targets is done well by PI retaining the characteristics of the transactions, support Pub-Sub mechanism.DI can do simple point-to-point data propagation.

1:N

N:1

N:M

Distributed Transactions Coordinated commits and rollbacks No capability in DI for this

Workflows

Simple DI workflows tend to be simple having to do with process sequencing and error handling, PI has true WF & BPM capabilitiesMulti-step with human interaction

Transaction Integrity Guaranteed delivery, recovery DI does not support this in a robust fashion



Further Information

SAP Public Web:


SAP Public Web-Site: SAP BusinessObjects Data Integrator




http://www1.sap.com/solutions/sapbusinessobjects/large/eim/dataintegrator/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI

SAP BusinessObjects Data Federator XI 3.0 Semantic Layer (SL) 4.0

DF / SL






Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




SAP BusinessObjects Data FederatorProvide Quick, High-Performance Access to Distributed Data

Build ‘virtual’ data warehouses and marts without the physical movement of data

Database SAPNetWeaver BW

OLAPaccess


BIBI

UniversesUniverses Deploy business intelligence applications accessing

data from multiple systems

Optimized performance while joining together data from multiple systems

Non invasive, safe technology – low impact on source systems

Real-time access to distributed data

Wide source support - RDBMS, XML, SAS, Web Services


Runtime

Design

DATA FEDERATOR KEY CONCEPTSAGILE DATA INTEGRATION

Flexible data modeling Unified view (Design Multi-Source Data Foundation)

Connect to your existing information systems

Transform data on the fly (function, mapping rules…)

Query any sources uniformly Multi-Source SQL Query engine

– Including multi-source join operators

– Pull required data at runtime (access information on demand)

– Parallel query execution

Query optimizer

– Generate an optimal global execution plan according to the underlying sources

– Delegate dynamically computations to sources

Rewrite SQL statements

– Generate native queries (SQL, Xquery …)

– Can generate non relational statements (program and function calls…)


Design phaseDesign a unified view

Data model suitedfor analysis

Data transformations

XML to relationalconversion

Connect to sources Extract metadata Relational and non

relational

Transform data Business rules Case statements Align incompatible ID Merge lists

Design a data model Business-oriented Abstract physical

implementation Flexible

Web Services


Runtime phaseQuery any sources uniformly

Submit sub queries

SQL to WS calls

Optimize Generate an optimal

execution plan

Execute Submit sub queries Delegate computation to

sources Execute SQL operations

not supported by sources

Adapt Generate native SQL Generate function calls

from SQL (Web Services, ABAP…)

Query using SQL

Web Services


DATA FEDERATOR ARCHITECTURE

SourcesSAP BW, Netezza, Oracle, SQL Server, DB2, Teradata, Sybase, Informix, ODBC, XML, Web Services

ODBC or JDBC drivers


Further Information

SAP Public Web:


SAP Public Web-Site: SAP BusinessObjects Data Federator




http://www1.sap.com/solutions/sapbusinessobjects/large/eim/datafederator/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI


SAP BusinessObjects Metadata Management XI 3.1 Information Steward 4.0

MM/IS





Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




What Is Metadata?

Data that describes data

“Structured information that describes, explains, locates, or otherwise makes it easier to retrieve, use, or manage an information resource.”

National Information Standards Organization

My favorite metadata


Metadata ManagementInformation you can trust with end-to-end metadata management

Understand where the data used in your applications comes from and how it is transformed

Assess change impact analysis for source to reports

Manage metadata from various data sources, data integration technologies, and BI systems

Lower TCO by tracking usage and promote reuse of data and reports

Improve decision making and regulatory compliance

BI ReportsUniverse Objects

Data WarehouseSAP BWTransformationData sources

Users / Groups

“Where did this number come from?”

“How will this change in the source impact my BI reports?”


Metadata Management - Overview

■ Consolidates metadata from various BI related sources

■ Integrates metadata in a central metadata repository

■ Relates metadata to enable auditing, usage, change impact, and data lineage analysis

■ Supplements metadata with custom attributes, annotations

■ Creates universe from relational objects

■ Metapedia, a business term encyclopedia

■ Advanced search

Consolidate, Integrate, Audit, and Trust your Metadata

Custom Attributes Annotations, Metapedia

■ Impact

■ Usage

■ Lineage

■ Trends

■ Search

Metadata Integrators

Analysis

Central Repository

Metadata Repository

BI Systems

Databases

ETL

Modeling Tools

Business Metadata

UniverseCreation

AuditConsolidate

Integrate


Metadata Integrators

Metadata Integrators bundled with Metadata Management BusinessObjects Enterprise (BOE)

Data Services/Data Integrator

Data Federator

CWM XML (CWM – Common Warehouse Model)

RDBMS – Oracle, MS SQL Server, DB2, Teradata, and JDBC sources

SAP Netweaver BW – new with SAP BusinessObjects Metadata Management 3.1

Metadata Integrators from MITI (OEM partner) (MITI – Meta Integration Technology Inc)

Approximately 50 distinct metadata sources

Sample supported tools are:

– Modeling Tools: CA ERwin, Sybase PowerDesigner, Embarcadero ER/Studio

– ETL Tools: IBM DataStage, Informatica PowerCenter, Microsoft SSIS, and Oracle Warehouse Builder (OWB).

– BI Tools: Cognos and MicroStrategy

– Other Tools: COBOL Copybook, and Microsoft Excel.

Details at www.metaintegration.net/Products/MIMB/SupportedTools.html


Resources

SAP BusinessObjects Intelligence Platform http://www.sap.com/usa/solutions/sapbusinessobjects/large/intelligenceplatform/index.epx

SAP BusinessObjects Metadata Management http://www.sap.com/usa/solutions/sapbusinessobjects/large/intelligenceplatform/im/metad

ata-management/index.epx

SAP BusinessObjects Metadata Management user’s guide http://help.sap.com Follow SAP BusinessObjects SAP BusinessObjects Metadata Management SAP

BusinessObjects XI 3.0

http://www.sap.com/usa/solutions/sapbusinessobjects/large/intelligenceplatform/index.epx

http://www.sap.com/usa/solutions/sapbusinessobjects/large/intelligenceplatform/im/metadata-management/index.epx

http://www.sap.com/usa/solutions/sapbusinessobjects/large/intelligenceplatform/im/metadata-management/index.epx

http://help.sap.com/


Further Information

SAP Public Web:

SAP Developer Network (SDN): http://www.sdn.sap.com/irj/sdn/edw

SAP Public Web-Site: SAP BusinessObjects Metadata Management



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

http://www1.sap.com/solutions/sapbusinessobjects/large/eim/metadata-management/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




SAP BusinessObjects Rapid Marts Jump Start Data Mart Implementations

Pre-packaged, subject area specific data marts for SAP, Oracle, PeopleSoft and Siebel applications

A relational data model tuned for BI Mappings to load data from applications to the

target data mart Sample reports and dashboards Extensive business content documentation

Accelerate time and lower costs of business intelligence deployments using pre-packaged data marts


What are SAP BusinessObjects Rapid Marts?Solution overview

Rapid Mart to deploy Subject Area Data Marts

Mfg

Sales

…

HR

FI

SAP BusinessObjects Data Services

SAP BusinessObjects Enterprise

ETLMapping

Business Users

BIContent

Enterprise Apps


Rapid Mart Availability Across Enterprise Applications and Subject Areas

S

Finance

General Ledger Accounts Receivable Accounts Payable Cost Center

Manufacturing

Plant Maintenance Production Planning Project Systems

Operations

Sales Inventory Purchasing

HCM

Human Resources

Finance

General Ledger Accounts Receivable Accounts Payable Asset Management

HCM

Human Resources

O

Finance

General Ledger Accounts Receivable Accounts Payable Fixed Assets

Operations

Sales Inventory Purchasing Projects Service Contracts

HCM

Human Resources

Vertical

Federal Financials

Call Center

Campaign

Pipeline

SAP ERP (R/3 & ECC) Oracle E-Bus. Suite PeopleSoft

Siebel


Further Information

SAP Public Web:

SAP Developer Network: www.sdn.sap.com/irj/boc/index?rid=/webcontent/uuid/60d9420c-52ad-2c10-ecb9-ba8c7f7aee97

SAP Public Web-Site: SAP BusinessObjects Rapid Marts



http://www.sdn.sap.com/irj/boc/index?rid=/webcontent/uuid/60d9420c-52ad-2c10-ecb9-ba8c7f7aee97

http://www.sdn.sap.com/irj/boc/index?rid=/webcontent/uuid/60d9420c-52ad-2c10-ecb9-ba8c7f7aee97

http://www1.sap.com/solutions/sapbusinessobjects/large/eim/rapidmarts/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




SAP NetWeaver BW AcceleratorAccelerate Query Performance for Faster Decision Making

Reduce SAP NetWeaver BW maintenance significantly, resulting in lower TCO

Increase user satisfaction and expand the reach of BI with predicable response times and faster results

Provide users with access to the full spectrum of detailed information at Google-like response times

Accelerate massive data volumes to achieve fast response times for more timely decisions

Our query response time is phenomenal. One standard query that used to take 2 or 3 minutes to run now fishes in just 7 seconds. It’s no surprise that we are seeing dramatically increased performance across our user community”Philip Knight, Manager of Information Technology, Merit Energy

“


SAP NetWeaver BW AcceleratorVision

SAP NetWeaver BW Accelerator for high performance business intelligence Performance speedup factor between 10 and 100 Without changing the BI user experience (transparent to users) Backend engine for SAP BusinessObjects Explorer

SAP NetWeaver BW

BusinessWarehouse

CalculationDBMS BWA∑

Compressed and column-basedOptimized for analysis

Agile

Low TCO

Fast to upload

Calculation on the fly

Instant answers

Predictable query performance

Any query

Queries

X

bypass DB


SAP NetWeaver BW AcceleratorArchitecture

SAP NetWeaver BW

InfoCubes

Data Acquisition

Analytic Engine

BusinessObjects ExplorerOther

AnySource

SAP NetWeaverBW Accelerator

Indexing

In-Memory ProcessingOther


Further Information

SAP Public Web:

SAP Developer Network: http://www.sdn.sap.com/irj/sdn/bwa

SAP Public Web-Site: SAP BusinessObjects Business Warehouse Accelerator



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

http://www1.sap.com/platform/netweaver/components/businesswarehouse/bwa/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




SAP NW BW within the Information Management Platform

SAP NetWeaver BW

SAP NetWeaver BW


Data ServicesData ServicesData Quality ManagementData Quality ManagementData IntegratorData IntegratorD

ata

Fo

un

dat

ion

SAP NetWeaver BW Accelerator

Master Data ManagementMaster Data Management

TextAnalysis

TextAnalysis

CRMCRM SCMSCM

SRMSRM PLMPLM

SAP Business Suite





Data Quality Mgmt

Data Quality Mgmt

3rd-Party Databases and Applications3rd-Party Databases and Applications

*SBOP Advanced Analysis (fka project Pioneer) planned for 2010

Me

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me

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Me

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SAP NetWeaver PortalSAP NetWeaver Portal Any Portal, Any Destination

Any Portal, Any Destination

SAP BusinessObjects EnterpriseSAP BusinessObjects Enterprise

Crystal ReportsCrystal Reports Web Intelligence Web Intelligence XcelsiusXcelsiusOLAP client

(SAP BEx, Advanced Analysis*)

OLAP client (SAP BEx, Advanced Analysis*)

Info

rmat

ion

A

cces

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ExplorerExplorer

Mobile BIMobile BI


EDW with SAP NetWeaver BW provides an integrated, scalable DW platform delivering best practice DW processes that comprise business oriented modeling, reliable data acquisition,

streamlined operations and life cycle management. This powers information consumption at the speed of thought.

Reliable Data Acquisition

Openness and data quality through

• Out-of-the box ETL capabilities

• Integrated BusinessObjects Data Services (Data Integrator and Data Quality)

Streamlined Operations

Efficient data management through:

• Management of data consistency

Security:

• Authorization handling

• High availability

Enable sophisticated lifecycle management at different levels:

• System

• Meta Data

• Data (Nearline storage, archiving)

Lifecycle Management

Information Consumptionat the Speed of Thought

Business Oriented Modeling

Fast, sustainable implementation through

• Modeling Patterns

• Business Content

Support scalable business-oriented analytics

• Analytic engine

• SAP NetWeaver BW Accelerator

SAP NetWeaver BW 7.0Enterprise Data Warehousing – Value Proposition


SAP NetWeaver BW 7.0 Enterprise Data Warehousing – Capabilities

Complete ETL approach Lean data flow concept Improved load performance

Real-time Data Warehousing Direct Access Real-time data acquisition

Nearline Storage (NLS) Interface Storage Management Optimization using NLS

technologies based on column based indexing, grid computing and in-memory processing

High compression rates

Model driven approach Predefined modeling patterns e.g. master

data, DataStore, Infocube Database abstraction

BW Administration Cockpit Central point of truth for administration needs

Rich Business Content Enables fast implementation Full versioning and remodeling support

Integrated BusinessObjects Data Services Open to any source Full versioning and remodeling support

Manage Data Consistency Incremental changes between data layer in

both directions (update and roll-back) Open-hub service to export bulk data to

downstream systems


Further Information

SAP Public Web:

SAP Developer Network: http://www.sdn.sap.com/irj/sdn/edw

SAP Public Web-Site: SAP BusinessObjects Business Warehouse




http://www1.sap.com/platform/netweaver/components/businesswarehouse/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




Planned Product Direction Introducing:High Performance Analytic Appliance (HANA)

SAP High Performance Analytic Appliance (HANA ) HANA is a flexible, multi-purpose, data source agonistic in-memory appliance that combines

both hardware and software components to support a number of valuable use case scenarios. HANA bundles a number of integrated SAP software components including the in-memory

computing engine, real-time replication service, data modeling and data services. It will be delivered as an optimized hardware appliance in conjunction with key hardware providers.

HANA enables organizations to analyze business operations based on large volumes of detailed information in real-time -as it happens.

Individuals can create very flexible analytic models based on real-time data without impacting backend enterprise applications or data bases.

In-Memory Computing Engine The next generation high performance in-memory computing engine will leverage SAP „s latest

in-memory technologies such as columnar databases, massively parallel processing (MPP), in-memory computing, and data compression techniques

It is the major component of HANA and offers data acceleration and management software in a single integrated environment


Introducing SAP High Performance Analytic Appliance (HANA)


Planned Roadmap HANA & SAP NetWeaver BW

Major release BW Accelerator New features and improvements

across all components

BW 7.0 / BWA 7.0

200920112010

Real-time operational analytics on mass data

Rapid creation of agile data marts Non disruptive deployments of HANA

side by side ERP and/or BW

HANA V1.0 Additional calculation capabilities Primary persistence layer under

BW; eliminates need for separate database

Models for SAP business content enabling new applications

HANA V1.x

Go-to release for integration with SAP Business Objects BI

BW 7.0 EhP1 (7.01)

Major step on Enterprise Data Warehousing scalability and flexibility

BW Accelerator: additional performance

Integration Improvements with SAP BusinessObjects Data Services

BW 7.3 / BWA 7.2

BW running on HANA as the underlying In-Memory DB Platform

In-Memory for Enterprise Data Warehousing

Integrated Planning In-Memory enabled

BW 7.3x

2006

SAP NetWeaver BW evolving to a fully

In-Memory enabled EDW solution on

top of HANA

Futuredirection

This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.


Further Information

SAP Public Web:

SAP Developer Network: http://www.sdn.sap.com/irj/sdn/edw









XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




Structured Data Unstructured Data

Applications – Packaged, Custom, Analytical

Transactional, Operational and Analytical SourcesEvents

Business, Data and Process Modeling, Semantic Layer, Metadata Management

Enterprise Information Management

Business Intelligence

SAP and Sybase Provide the Most Complete Information Infrastructure

Sybase ASE SAP BW HANA Other

RDBMSFile

SystemsStreaming

DataSybase IQ Sybase SA

Data Services

Data Federator

Process Integrator ILM MDM

Data Quality

Information Steward

Replication Services

EventProcessing

SAPSybase

SBO


Sybase IQ architecture

High Speed Interconnect

Shared, compressed, partitioned columnar store

Scale outScale out

Scale out Scale out

Active StoreNear Line Store

Historical Store

ANALYTICS

R Node

Node 3

R/W Node

Node 1

REAL TIMELOADS

R Node

Node 4

REPORTS

R/W Node

Node 5

CLIENT LOADS AND

QUERIES

GUI-based System AdministrationConsole

BATCH ETLs

R/W Node

Node 2

ConnectivityKerberos – Authenticated ECC/RSA/FIPS-Encrypted


Standards based outside, high performance inside

Grid Based Column Store Fast Complex Queries

High Performance Data LoadsStorage, User Scalability

Non-relational Data Support

Platform Agnostic:

Linux, Unix, Windows

Schema Independent:3NF, Star, Flat

Standard Connectivity: ODBC, JDBC, OLE-DB

StandardLanguage:ANSI SQL

Outside:

Standards based open interfaces

enables best-of-breed eco-System

Inside:

Architected ground up for

High Performance Analytics

Sybase IQ: Product Profile


Traditional Analytics

Large

Data

# of A

ttributes

Large

Bulk Lo

ads

Time t

o Access

Load

Laten

cy

Concurre

nt user

s

Complex Q

uery Req

ts

Storag

e nee

ds

Sybase IQ Analytics

Larg

e Dat

a

# of

Attr

ibute

s

Larg

e Bulk

Loa

ds

Time

to A

cces

s

Load

Lat

ency

Concu

rrent

use

rs

Comple

x Que

ry R

eqts

Stora

ge n

eeds

Business Value• Better predictions about future business

• Informed decision making around the clock• Spot trends and anomalies immediately• Operational decision making affordably

Sybase IQ Value Proposition





XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




SAP NetWeaver Master Data ManagementDeliver a Single View of Business Information

Deliver trusted product, customer, supplier master data and global data synchronization

Pre-integrated with SAP BusinessObjects Data Services for market leading data quality and data integration

Pre-packaged IT and business usage scenarios Compose cross-application processes in SOA with

consistent master data

Consolidate, harmonize, and centrally manage master data of SAP and heterogeneous environments

“ Prior to using SAP NetWeaver MDM and SAP BusinessObjects IM solutions, our heterogeneous IT landscape made it difficult for us to view our total product line, what our customers were buying, and how we could serve those customers better”. Joe Young, Senior Manager, IT, Lexmark International, Inc.

SAP NetWeaver Master Data ManagementBringing clarity on your master data

ERP 1Part: 2574

Which employee should we assign?

Do I have the right product?

Who is my best supplier?

Who is my customer?

ERP 2Part: 0814

ERP 3Part: 1235

= =


An Integrated Solution Set to Address Every Customer Need (1/2)

SAP Solutions for Master Data Management

Any System SAP Business Suite

Embedded MDM

Enterprise MDM


An Integrated Solution Set to Address Every Customer Need (2/2)

End-to-end Governance & Stewardship

…Product Supplier Customer Financials

Embedded MDMEnterprise MDM

Foundation

Solutions

Data Int. &Quality

Workflow & Services

UI

Product Supplier Customer Financials ERP

Common Foundation & Solutions

CRM

…

…

…


MDM

Consolidation with Sustained Data Quality Using native MDM capabilities and BusinessObjects Data Services

Load data from SAP and non SAP sources

Leverage native MDM capabilities and/or SAP Business Objects Data Services to raise master data quality

Cleansing De-duplication Validation Enrichment

Use MDM processing layer for Mass maintenance Workflow-orchestrated

processing Provisioning of key mapping

ManageData Quality

A1 = B2


Harmonization Through Data DistributionRaise data quality in heterogeneous landscapes

Subscribe remote systems to enrich master data with centrally consolidated globally relevant information

Distribute data to remote systems (SAP and non-SAP)

Perform local completion of master data with application-specific information if required

MDM

Distribute ConsolidatedMaster Data

… … ……


Collaborative Data CreationEnsure consolidated master data from the beginning

Collaborative data creation process leveraging SAP NetWeaver Business Process Management, involving

Multiple approval levels e.g. different managers or departments

Sustained data quality checks and global duplicate checks prior to data creation ensure high quality master data

MDM repository contains consolidated and reliable master data fueling enterprise business processes

SAP NetWeaver BPM

NWMDM

Create and syndicate

Request

Search

Check ApproveWeb Service calls


Further Information

SAP Public Web:

SAP Developer Network: http://www.sdn.sap.com/irj/sdn/mdm

SAP Public Web-Site: SAP NetWeaver Master Data Management



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

http://www1.sap.com/platform/netweaver/components/mdm/index.epx








XI 3.2 4.0 DQ


XI 3.2 4.0 DI







Sybase IQ Sybase IQ



Data Integration &

Quality Management


Data Mart




SAP Solution Portfolio for MDMComprising both Embedded and Enterprise MDM

SAP Master Data Governance for Embedded MDM

Out-of-the-box, domain-specific master data governance applications to centrally create, change and distribute master data with a focus on SAP Business Suite.

SAP NetWeaver MDM for Enterprise MDM

Generic, multi-domain infrastructure supporting all domains and use cases in the enterprise.


Active Area and Staging – Separation of In-Process and Production-Ready Master Data

Change Req. & Change Documents

ActiveMaster Data Area

Staging Area

Snapshot & Activation

ReplicateApproveValidateMaintainRequest


Domain Specific Functionality and Unified Behavior & Operations

* Scheduled for ERP 6.0 Enhancement Package 5** Anticipated future extension

Common Framework

Financial Master Data

Material Master Data

Customer Master Data

Supplier Master Data

**

**

Domain-specific MDG applications

offer pre-defined and out-of the box data models

user interfaces

processes and workflows

backend integration

Built on MDG application framework

providing common services for central authoring and governance

workflow and collaboration

data quality and

distribution


Cla

ssif

icat

ion

Ba

sic

Da

ta

Business Partner attributes

Material

Provided Data Model per Domain

Class Assignment

CharacteristicValuation

General Data

Descriptions

Units of Measure

EAN/UPC

Basic Text

Internal Comment

Su

pp

lier

spec

ific

at

trib

ute

s

Roles

Central Data

Bank Details

Identification

Tax Numbers

Industry Sec.

Addresses(Phone, Fax, Email, URL)

Supplier

Un

der

D

iscu

ssio

nE

xist

ing

sin

ce

Eh

P4 Chart of Accounts

G/L Accounts

Sc

op

e o

f E

hP

5

Further Controlling Objects

Fixed Assets

Cost Elements

Organizational Units:CompaniesProfit CenterCost Center

Financial Master Data

General Data

Company Code Data

Purchasing Data

► Out-of-the box delivery of proven data models for operational and financial master data


Extensibility and Support for Self-Defined Scenarios

MDG applications allow adaptation without modification

Extension of data model

User interface

Change request and workflow configuration

Rules for validations and derivations

MDG framework for self-defined scenarios

Build data model from scratch

Create user interfaces

Define workflow and change request process

Create rules for validation and derivation of data


Deployment Options of SAP Master Data Governance

Deploy MDG … on top of operational ERP

… as standalone system

Extension of functional capabilities by optional components SAP NetWeaver MDM: Consolidation capabilities

Enterprise Search (TREX): Search and Duplicate Check (mandatory for Material)

SAP Business Objects Data Quality Management: Duplicate Check & Address Validation

SAP Business Objects analytical dashboards: Alternative UIs (instead of standard ALV lists)

SAP NetWeaver PI: Third-Party integration or complex system landscape management

SAP Portal (optional SAP NetWeaver Business Client)

MDG

MDG & ERP

ERP

3rd party…

ERP

3rd party…


SAP Master Data Governance

Out-of-the-box, process-centric applications for centralized governance of master data domains such as financial data, supplier data, material data etc.

Is natively integrated with SAP Business Suite re-using existing business logic and infrastructure leads to low TCO.

Provides flexibility, from configurable workflows and extensible data models, up to custom-built solutions.

Summary

Master Data


Further Information on SAP Master Data Governance and SAP’s EIM Portfolio

SAP Master Data Management on sap.com

http://www.sap.com/mdm

SAP Master Data Governance on sap.com

http://www.sap.com/solutions/enterprise-information-management/master-data-management/master-data-governance

SAP Developer Network and related communities


http://www.sap.com/mdm




http://www.sap.com/solutions/enterprise-information-management/master-data-governance/index.epx