Enterprise Information Management Solution Architecture EIM Product Portfolio Part IV of IV Customer Insight and Action Oct, 2010.

Enterprise Information Management Solution Architecture EIM Product Portfolio Part 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 EIM Encompassing People, Process & Technology Create Monitor Enterprise Information Management Executive Sponsor Line of Business Owners IT Data Steward Data Integration & Quality Management Master Data Management Content & Information Life-Cycle Management Data Warehouse Management PROCESS PEOPLE TECHNOLOGY Cleanse IntegrateManage Govern Archive

©SAP AG 2010. All rights reserved. / Page 6 EIM Solution Architecture EIM Products covered ProductVersionNext VersionAbbrev. SAP BusinessObjects Data ServicesXI 3.24.0DS SAP BusinessObjects Data Quality (part of DS) XI 3.24.0DQ SAP BusinessObjects Data Integration (part of DS) XI 3.24.0DI SAP BusinessObjects Data FederatorXI 3.0Semantic Layer (SL) 4.0DF / SL SAP BusinessObjects Metadata ManagementXI 3.1Information Steward 4.0MM/IS SAP BusinessObjects Rapid MartsXI 3.2n / aRM SAP Business Warehouse Accelerator7.20n / aBWA SAP Business Warehouse7.017.02, 7.3BW SAP HANA1.01.5; 2.0HANA Sybase IQ SAP Master Data Management7.1 SP57.1 SP6MDM SAP Master Data GovernanceEHP5SAP ERPMDG Data Integration & Quality Management Data Warehouse Management / Data Mart Master Data Management

©SAP AG 2010. All rights reserved. / Page 7 EIM Solution Architecture EIM Products covered ProductVersionNext VersionAbbrev. SAP BusinessObjects Data ServicesXI 3.24.0DS SAP BusinessObjects Data Quality (part of DS) XI 3.24.0DQ SAP BusinessObjects Data Integration (part of DS) XI 3.24.0DI SAP BusinessObjects Data FederatorXI 3.0Semantic Layer (SL) 4.0DF / SL SAP BusinessObjects Metadata ManagementXI 3.1Information Steward 4.0MM/IS SAP BusinessObjects Rapid MartsXI 3.2n / aRM SAP Business Warehouse Accelerator7.20n / aBWA SAP Business Warehouse7.017.02, 7.3BW SAP HANA1.01.5; 2.0HANA Sybase IQ SAP Master Data Management7.1 SP57.1 SP6MDM SAP Master Data GovernanceEHP5SAP ERPMDG Data Integration & Quality Management Data Warehouse Management / Data Mart Master Data Management

©SAP AG 2010. All rights reserved. / Page 8 EIM Product Portfolio Solution Matrix Which EIM Product fits to your Solution Approach? Solution Approach SBOP Data Service SBOP DF SBOP MM / IS SBOP Rapid Marts SAP NW BWSAP NW BWA SAP NW MDM SAP NW MDG SAP HANA Sybas e 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 SBOP Data Services SAP NW Master Data Governance SAP NW Business Warehouse Accelerator SAP NW Business Warehouse Accelerator SBOP Data Federator SBOP Data Federator SAP Hana Sybase IQ SBOP Metadata Mgmt. / Information Steward SBOP Metadata Mgmt. / Information Steward fully implemented with reservefeature accomplishedneutral, no impactfeature not fullfilled

©SAP AG 2010. All rights reserved. / Page 9 SAP Provides an Integrated End-to-End Information Management Platform SAP NetWeaver BW Data Federator Data Services Data Quality Management Data Integrator Data Foundation SAP NetWeaver BW Accelerator Master Data Management Text Analysis CRM SCM SRM PLM SAP Business Suite ERP Financials Operations Human Resources Corporate Services ERP Financials Operations Human Resources Corporate Services Data Quality Mgmt 3rd-Party Databases and Applications *SBOP Advanced Analysis (fka project Pioneer) planned for 2010 Meta Data Management SAP NetWeaver Portal Any Portal, Any Destination SAP BusinessObjects Enterprise Crystal Reports Web Intelligence Xcelsius OLAP client (SAP BEx, Advanced Analysis*) Information Access Explorer Mobile BI

©SAP AG 2010. All rights reserved. / Page 10 SAP BusinessObjects Data Services Integrate 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 Metadata Impact Analysis Data Lineage Data profiling SAP BusinessObjects Data Services Architecture Data Services Engine Data Auditing Data Validation Data Cleansing 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/dshttp://www.sdn.sap.com/irj/sdn/ds SAP Public Web-Site: SAP BusinessObjects Data ServicesSAP BusinessObjects Data Services Related SAP Education and Certification Opportunities http://www.sap.com/education/

©SAP AG 2010. All rights reserved. / Page 13 ProductVersionNext VersionAbbrev. SAP BusinessObjects Data ServicesXI 3.24.0DS SAP BusinessObjects Data Quality (part of DS) XI 3.24.0DQ SAP BusinessObjects Data Integration (part of DS) XI 3.24.0DI SAP BusinessObjects Data FederatorXI 3.0Semantic Layer (SL) 4.0DF / SL SAP BusinessObjects Metadata ManagementXI 3.1Information Steward 4.0MM/IS SAP BusinessObjects Rapid MartsXI 3.2n / aRM SAP Business Warehouse Accelerator7.20n / aBWA SAP Business Warehouse7.017.02, 7.3BW SAP HANA1.01.5; 2.0HANA Sybase IQ SAP Master Data Management7.1 SP57.1 SP6MDM SAP Master Data GovernanceEHP5SAP ERPMDG Data Integration & Quality Management Data Warehouse Management / Data Mart Master Data Management EIM Solution Architecture EIM 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 STANDARDIZE CORRECT 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 Management Ensures 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 Data Quality Data Quality External Systems External Systems SAP ERP/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 Pratt Data 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/imhttp://www.sdn.sap.com/irj/sdn/im SAP Public Web-Site: SAP BusinessObjects Data QualitySAP BusinessObjects Data Quality Related SAP Education and Certification Opportunities http://www.sap.com/education/

©2010 SAP AG. All rights reserved. / Page 18 ProductVersionNext VersionAbbrev. SAP BusinessObjects Data ServicesXI 3.24.0DS SAP BusinessObjects Data Quality (part of DS) XI 3.24.0DQ SAP BusinessObjects Data Integration (part of DS) XI 3.24.0DI SAP BusinessObjects Data FederatorXI 3.0Semantic Layer (SL) 4.0DF / SL SAP BusinessObjects Metadata ManagementXI 3.1Information Steward 4.0MM/IS SAP BusinessObjects Rapid MartsXI 3.2n / aRM SAP Business Warehouse Accelerator7.20n / aBWA SAP Business Warehouse7.017.02, 7.3BW SAP HANA1.01.5; 2.0HANA Sybase IQ SAP Master Data Management7.1 SP57.1 SP6MDM SAP Master Data GovernanceEHP5SAP ERPMDG Data Integration & Quality Management Data Warehouse Management / Data Mart Master Data Management EIM Solution Architecture EIM 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 Integrator Connectivity 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 DatabasesApplicationsFiles/Transport Mainframe (with partner) Unstructured Data

©2010 SAP AG. All rights reserved. / Page 21 Use Criteria DI / PI Criteria Process Integrator Data IntegratorNotes 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 efficiently Small, 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 events Event triggered Data LatencyReal-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 TransformationComplex, multi-step, calculations and aggregations DI 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 TransactionsCoordinated commits and rollbacksNo 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 capabilities Multi-step with human interaction Transaction IntegrityGuaranteed delivery, recoveryDI 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/imhttp://www.sdn.sap.com/irj/sdn/im SAP Public Web-Site: SAP BusinessObjects Data IntegratorSAP BusinessObjects Data Integrator Related SAP Education and Certification Opportunities http://www.sap.com/education/

©2010 SAP AG. All rights reserved. / Page 23 ProductVersionNext VersionAbbrev. SAP BusinessObjects Data ServicesXI 3.24.0DS SAP BusinessObjects Data Quality (part of DS) XI 3.24.0DQ SAP BusinessObjects Data Integration (part of DS) XI 3.24.0DI SAP BusinessObjects Data FederatorXI 3.0Semantic Layer (SL) 4.0 DF / SL SAP BusinessObjects Metadata ManagementXI 3.1Information Steward 4.0MM/IS SAP BusinessObjects Rapid MartsXI 3.2n / aRM SAP Business Warehouse Accelerator7.20n / aBWA SAP Business Warehouse7.017.02, 7.3BW SAP HANA1.01.5; 2.0HANA Sybase IQ SAP Master Data Management7.1 SP57.1 SP6MDM SAP Master Data GovernanceEHP5SAP ERPMDG Data Integration & Quality Management Data Warehouse Management / Data Mart Master Data Management EIM Solution Architecture EIM Products covered

©2010 SAP AG. All rights reserved. / Page 24 SAP BusinessObjects Data Federator Provide Quick, High-Performance Access to Distributed Data Build ‘virtual’ data warehouses and marts without the physical movement of data Database SAP NetWeaver BW OLAP access Data Federator BI Universes 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 CONCEPTS AGILE 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 phase Design a unified view Data model suited for analysis Data transformations XML to relational conversion 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 phase Query 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 29 Further Information SAP Public Web: SAP Developer Network (SDN): http://www.sdn.sap.com/irj/sdn/imhttp://www.sdn.sap.com/irj/sdn/im SAP Public Web-Site: SAP BusinessObjects Data FederatorSAP BusinessObjects Data Federator Related SAP Education and Certification Opportunities http://www.sap.com/education/

©2010 SAP AG. All rights reserved. / Page 30 ProductVersionNext VersionAbbrev. SAP BusinessObjects Data ServicesXI 3.24.0DS SAP BusinessObjects Data Quality (part of DS) XI 3.24.0DQ SAP BusinessObjects Data Integration (part of DS) XI 3.24.0DI SAP BusinessObjects Data FederatorXI 3.0Semantic Layer (SL) 4.0DF / SL SAP BusinessObjects Metadata ManagementXI 3.1Information Steward 4.0 MM/IS SAP BusinessObjects Rapid MartsXI 3.2n / aRM SAP Business Warehouse Accelerator7.20n / aBWA SAP Business Warehouse7.017.02, 7.3BW SAP HANA1.01.5; 2.0HANA Sybase IQ SAP Master Data Management7.1 SP57.1 SP6MDM SAP Master Data GovernanceEHP5SAP ERPMDG Data Integration & Quality Management Data Warehouse Management / Data Mart Master Data Management EIM Solution Architecture EIM 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 Management Information 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 Reports Universe Objects Data Warehouse SAP BW Transformation Data 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 Universe Creation Audit Consolidate 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/metadat a-management/index.epx http://www.sap.com/usa/solutions/sapbusinessobjects/large/intelligenceplatform/im/metadat a-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/edwhttp://www.sdn.sap.com/irj/sdn/edw SAP Public Web-Site: SAP BusinessObjects Metadata ManagementSAP BusinessObjects Metadata Management Related SAP Education and Certification Opportunities http://www.sap.com/education/

©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 ETL Mapping Business Users BI Content

©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 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 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 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 Call Center Campaign Pipeline SAP ERP (R/3 & ECC)Oracle E-Bus. SuitePeopleSoft 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 www.sdn.sap.com/irj/boc/index?rid=/webcontent/uuid/60d9420c-52ad-2c10-ecb9- ba8c7f7aee97 SAP Public Web-Site: SAP BusinessObjects Rapid MartsSAP BusinessObjects Rapid Marts Related SAP Education and Certification Opportunities http://www.sap.com/education/

©2010 SAP AG. All rights reserved. / Page 43 SAP NetWeaver BW Accelerator Accelerate 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 Accelerator Vision 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 Business Warehouse Calculation DBMS BWA ∑ Compressed and column-based Optimized 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 Accelerator Architecture SAP NetWeaver BW InfoCubes Data Acquisition Analytic Engine BusinessObjects Explorer Other Any Source SAP NetWeaver BW Accelerator Indexing In-Memory Processing Other

©2010 SAP AG. All rights reserved. / Page 46 Further Information SAP Public Web: SAP Developer Network: http://www.sdn.sap.com/irj/sdn/bwahttp://www.sdn.sap.com/irj/sdn/bwa SAP Public Web-Site: SAP BusinessObjects Business Warehouse AcceleratorSAP BusinessObjects Business Warehouse Accelerator Related SAP Education and Certification Opportunities http://www.sap.com/education/

©2010 SAP AG. All rights reserved. / Page 48 SAP NW BW within the Information Management Platform SAP NetWeaver BW Data Federator Data Services Data Quality Management Data Integrator Data Foundation SAP NetWeaver BW Accelerator Master Data Management Text Analysis CRM SCM SRM PLM SAP Business Suite ERP Financials Operations Human Resources Corporate Services ERP Financials Operations Human Resources Corporate Services Data Quality Mgmt 3rd-Party Databases and Applications *SBOP Advanced Analysis (fka project Pioneer) planned for 2010 Meta Data Management SAP NetWeaver Portal Any Portal, Any Destination SAP BusinessObjects Enterprise Crystal Reports Web Intelligence Xcelsius OLAP client (SAP BEx, Advanced Analysis*) Information Access Explorer Mobile 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 Consumption at 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 7.0 Enterprise 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/edwhttp://www.sdn.sap.com/irj/sdn/edw SAP Public Web-Site: SAP BusinessObjects Business WarehouseSAP BusinessObjects Business Warehouse Related SAP Education and Certification Opportunities http://www.sap.com/education/

©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 55 Planned Roadmap HANA & SAP NetWeaver BW Major release BW Accelerator New features and improvements across all components BW 7.0 / BWA 7.0 2009 2011 2010 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 Future direction 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/edwhttp://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 58 Structured DataUnstructured Data Applications – Packaged, Custom, Analytical Transactional, Operational and Analytical Sources Events 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 RDBMS File Systems Streaming Data Sybase IQ Sybase SA Data Services Data Federator Process Integrator ILM MDM Data Quality Information Steward Replication Services Event Processing SAP Syb ase SBO

©2010 SAP AG. All rights reserved. / Page 59 Sybase IQ architecture High Speed Interconnect Shared, compressed, partitioned columnar store Scale out Active Store Near Line Store Historical Store ANALYTICS R Node Node 3 R/W Node Node 1 REAL TIME LOADS R Node Node 4 REPORTS R/W Node Node 5 CLIENT LOADS AND QUERIES GUI-based System Administration Console BATCH ETLs R/W Node Node 2 ConnectivityKerberos – AuthenticatedECC/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 Loads Storage, User Scalability Non-relational Data Support Platform Agnostic: Linux, Unix, Windows Schema Independent: 3NF, Star, Flat Standard Connectivity: ODBC, JDBC, OLE-DB Standard Language: 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 Sybase IQ Analytics 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 63 SAP NetWeaver Master Data Management Deliver 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 Management Bringing clarity on your master data ERP 1 Part: 2574 Which employee should we assign? Do I have the right product? Who is my best supplier? Who is my customer? ERP 2 Part: 0814 ERP 3 Part: 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 … ProductSupplierCustomerFinancials Embedded MDM Enterprise MDM Foundation Solutions Data Int. & Quality Workflow & Services UI ProductSupplierCustomerFinancials 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 Manage Data Quality A1 = B2

©2010 SAP AG. All rights reserved. / Page 68 Harmonization Through Data Distribution Raise 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 Consolidated Master Data … … … …

©2010 SAP AG. All rights reserved. / Page 69 Collaborative Data Creation Ensure 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 NW MDM Create and syndicate Request Search CheckApprove Web 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/mdmhttp://www.sdn.sap.com/irj/sdn/mdm SAP Public Web-Site: SAP NetWeaver Master Data ManagementSAP NetWeaver Master Data Management Related SAP Education and Certification Opportunities http://www.sap.com/education/

©2010 SAP AG. All rights reserved. / Page 72 SAP Solution Portfolio for MDM Comprising 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 ** ** 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 Classification Basic Data Business Partner attributes Material Provided Data Model per Domain Class Assignment Characteristic Valuation General Data Descriptions Units of Measure EAN/UPC Basic Text Internal Comment Supplier specific attributes RolesCentral Data Bank Details Identification Tax Numbers Industry Sec. Addresses ( Phone, Fax, Email, URL ) Supplier Under Discussion Existing since EhP4 Chart of Accounts G/L Accounts Scope of EhP5 Further Controlling Objects Fixed Assets Cost Elements Organizational Units: Companies Profit Center Cost 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 3 rd party … ERP 3 rd 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

Enterprise Information Management Solution Architecture EIM Product Portfolio Part IV of IV Customer Insight and Action Oct, 2010.

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Enterprise Information Management Solution Architecture EIM Product Portfolio Part IV of IV Customer Insight and Action Oct, 2010.

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Presentation on theme: "Enterprise Information Management Solution Architecture EIM Product Portfolio Part IV of IV Customer Insight and Action Oct, 2010."— Presentation transcript:

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