eim solution architecture - product portfolio - part iv of iv
TRANSCRIPT
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
© SAP AG 2010. All rights reserved. / Page 3
© SAP AG 2009. All rights reserved. / Page 4
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 AG 2010. All rights reserved. / Page 5
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
© SAP AG 2010. All rights reserved. / Page 6
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
Master Data Management
© SAP AG 2010. All rights reserved. / Page 7
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
Master Data Management
© SAP AG 2010. All rights reserved. / Page 8
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 AG 2010. All rights reserved. / Page 9
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
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
ta D
ata
Ma
na
ge
me
nt
Me
ta D
ata
Ma
na
ge
me
nt
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 AG 2010. All rights reserved. / Page 10
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 AG 2010. All rights reserved. / Page 11
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
© SAP AG 2010. All rights reserved. / Page 12
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/
© SAP AG 2010. All rights reserved. / Page 13
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
Master Data Management
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 :
© 2010 SAP AG. All rights reserved. / Page 15
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
© 2010 SAP AG. All rights reserved. / Page 16
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
“
© 2010 SAP AG. All rights reserved. / Page 17
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
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 18
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 19
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
© 2010 SAP AG. All rights reserved. / Page 20
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
© 2010 SAP AG. All rights reserved. / Page 21
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
© SAP AG 2010. All rights reserved. / Page 21
© 2010 SAP AG. All rights reserved. / Page 22
Further Information
SAP Public Web:
SAP Developer Network (SDN): http://www.sdn.sap.com/irj/sdn/im
SAP Public Web-Site: SAP BusinessObjects Data Integrator
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 23
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
Master Data Management
EIM Solution Architecture EIM Products covered
© 2010 SAP AG. All rights reserved. / Page 24
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
Data FederatorData Federator
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
© 2010 SAP AG. All rights reserved. / Page 25
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…)
© 2010 SAP AG. All rights reserved. / Page 26
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
© 2010 SAP AG. All rights reserved. / Page 27
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
© 2010 SAP AG. All rights reserved. / Page 28
DATA FEDERATOR ARCHITECTURE
SourcesSAP BW, Netezza, Oracle, SQL Server, DB2, Teradata, Sybase, Informix, ODBC, XML, Web Services
ODBC or JDBC drivers
© 2010 SAP AG. All rights reserved. / Page 29
Further Information
SAP Public Web:
SAP Developer Network (SDN): http://www.sdn.sap.com/irj/sdn/im
SAP Public Web-Site: SAP BusinessObjects Data Federator
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 30
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 31
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
© 2010 SAP AG. All rights reserved. / Page 32
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?”
© 2010 SAP AG. All rights reserved. / Page 33
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
© 2010 SAP AG. All rights reserved. / Page 34
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
© 2010 SAP AG. All rights reserved. / Page 35
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
© 2010 SAP AG. All rights reserved. / Page 36
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
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 37
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 38
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
© 2010 SAP AG. All rights reserved. / Page 39
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
© 2010 SAP AG. All rights reserved. / Page 40
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
© 2010 SAP AG. All rights reserved. / Page 41
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
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 42
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 43
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
“
© 2010 SAP AG. All rights reserved. / Page 44
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
© 2010 SAP AG. All rights reserved. / Page 45
SAP NetWeaver BW AcceleratorArchitecture
SAP NetWeaver BW
InfoCubes
Data Acquisition
Analytic Engine
BusinessObjects ExplorerOther
AnySource
SAP NetWeaverBW Accelerator
Indexing
In-Memory ProcessingOther
© 2010 SAP AG. All rights reserved. / Page 46
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
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 47
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 48
SAP NW BW within the Information Management Platform
SAP NetWeaver BW
SAP NetWeaver BW
Data FederatorData Federator
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
ERP Financials Operations
Human Resources Corporate Services
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
ta D
ata
Ma
na
ge
me
nt
Me
ta D
ata
Ma
na
ge
me
nt
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
© 2010 SAP AG. All rights reserved. / Page 49
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
© 2010 SAP AG. All rights reserved. / Page 50
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
© 2010 SAP AG. All rights reserved. / Page 51
Further Information
SAP Public Web:
SAP Developer Network: http://www.sdn.sap.com/irj/sdn/edw
SAP Public Web-Site: SAP BusinessObjects Business Warehouse
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 52
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 53
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
© 2010 SAP AG. All rights reserved. / Page 54
Introducing SAP High Performance Analytic Appliance (HANA)
© 2010 SAP AG. All rights reserved. / Page 55
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.
© 2010 SAP AG. All rights reserved. / Page 56
Further Information
SAP Public Web:
SAP Developer Network: http://www.sdn.sap.com/irj/sdn/edw
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 57
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 58
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
© 2010 SAP AG. All rights reserved. / Page 59
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
© 2010 SAP AG. All rights reserved. / Page 60
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
© 2010 SAP AG. All rights reserved. / Page 61
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
© 2010 SAP AG. All rights reserved. / Page 62
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 63
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
= =
© 2010 SAP AG. All rights reserved. / Page 65
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
© 2010 SAP AG. All rights reserved. / Page 66
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
…
…
…
© 2010 SAP AG. All rights reserved. / Page 67
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
© 2010 SAP AG. All rights reserved. / Page 68
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
… … ……
© 2010 SAP AG. All rights reserved. / Page 69
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
© 2010 SAP AG. All rights reserved. / Page 70
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
Related SAP Education and Certification Opportunities
http://www.sap.com/education/
© 2010 SAP AG. All rights reserved. / Page 71
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
Master Data Management
EIM Solution ArchitectureEIM Products covered
© 2010 SAP AG. All rights reserved. / Page 72
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.
© 2010 SAP AG. All rights reserved. / Page 73
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
© 2010 SAP AG. All rights reserved. / Page 74
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
© 2010 SAP AG. All rights reserved. / Page 75
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
© 2010 SAP AG. All rights reserved. / Page 76
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
© 2010 SAP AG. All rights reserved. / Page 77
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…
© 2010 SAP AG. All rights reserved. / Page 78
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
© 2010 SAP AG. All rights reserved. / Page 79
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.sdn.sap.com/irj/sdn/mdm