SAP NetWeaver MDM Trusted Information Across the Enterprise. EIM Solution Management June 2011

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1 SAP NetWeaver MDM Trusted Information Across the Enterprise EIM Solution Management June 2011

2 Preface Information on how to use this presentation Note that this presentation sheds light on major capabilities and individual features of SAP NetWeaver Master Data Management (MDM). For an overview of SAP NetWeaver Data Management (MDM) from a business perspective, we d recommend to go through the separate SAP NetWeaver Master Data Management Overview presentation first. In addition, you may watch a dedicated presentation informing on MDM Business Content. As a general source of information, please check the SAP Enterprise MDM home page and the SAP NetWeaver Master Data Management topic page in the SAP Developer Network SAP AG. All rights reserved. 2

3 Agenda SAP s Master Data Management Solution incl. SAP NetWeaver MDM SAP NetWeaver Key Capabilities Data Integration/Synchronization Data Modeling Data Quality Workflow and Web Services Data Stewardship Manageability Summary 2011 SAP AG. All rights reserved. 3

4 Establish Trust in your Master Data SAP Solutions for Enterprise Master Data Management Integrated Solution Suite for Enterprise Master Data Management Automate master data governance processes in accordance with your data governance policies and business processes Gain a single view of master data from SAP and non-sap systems Pre-packaged business usage scenarios for faster time-to-value Integrated with BusinessObjects Data Services and Information Steward Use SAP ecosystem to define a winning MDM strategy and faster implementation 1,500+ customers 2011 SAP AG. All rights reserved. 4

5 SAP Enterprise Master Data Management Integrated Solution Suite Addressing all Customer Needs SAP Master Data Governance Out-of-the-box Applications to create, maintain, and replicate master data SAP BusinessObjects Data Services and Information Steward Industry leading data quality, integration, profiling, and visualization SAP NetWeaver MDM Toolset to consolidate, harmonize, and share master data 2011 SAP AG. All rights reserved. 5

6 SAP NetWeaver Master Data Management Bringing clarity on your master data across the enterprise Which employee should we assign? Do I have the right product? Who is my best supplier? Who is my customer? ERP 1 Part: 2574 = = ERP 2 Part: 0814 ERP 3 Part: SAP AG. All rights reserved. 6

7 SAP NetWeaver Master Data Management Versatile scenarios based on generic infrastructure Generic Scenarios Data Consolidation Data Harmonization Collaborative Data Creation Embedded Scenarios Supplier Catalog Management Horizontal Scenarios Customer Data Management Product Information Management Industry Scenarios Global Data Synchronization Aggregate Physician Spend 2011 SAP AG. All rights reserved. 7

8 Generic MDM Scenarios Basic description Master Data Consolidation Load master data from client systems Identification and consolidation of similar or identical objects Provision of key mapping for unified, company-wide analytics and business operations Aggregate master data across SAP and non-sap systems into a centralized master data repository. Once data is consolidated, you can search for data across linked systems, identify identical or similar objects across systems, and provide key mapping for reliable companywide analytics and reporting. Master Data Harmonization Master Data Consolidation plus Distribution of consolidated data to client systems Local completion of master data with application-specific information Consolidate and harmonize master data from heterogeneous systems. Ensure high quality master data by distributing harmonized data that is globally relevant using distribution mechanisms. Allow subscribing applications to enrich master data with locally relevant information. Collaborative Master Data Processes Centrally controlled creation of master data in heterogeneous contexts, e.g., by integrating SAP NetWeaver BPM to facilitate master data processes with automated and human activities Distribution to client systems and local completion with application-specific information Support company quality standards by ensuring the central control of master data, including maintenance and storage. Distribute master data to client systems as required using distribution mechanisms SAP AG. All rights reserved. 8

9 Master Data Consolidation Become the brains of the enterprise Consolidate master data within a heterogeneous system landscape Consolidation process consists of the following actions Load data from remote systems (SAP and non-sap) using native MDM features or leveraging SAP BusinessObjects Data Services MDM Consolidate Master Data Cleanse the master data using native MDM features or leveraging SAP BusinessObjects Data Services Create cross-system key mapping Provide a single version of the truth Consolidate Load Validate & Enrich De- Duplicate 2011 SAP AG. All rights reserved. 9

10 Master Data Harmonization Align the complete system landscape Distribute consolidated master data within a heterogeneous system landscape Distribution process consists of the following actions Subscribe remote systems to enrich master data with globally relevant information Distribute data to remote systems (SAP and non-sap) MDM Distribute Master Data Perform local completion of master data with application-specific information if required Distribute Synchronize 2011 SAP AG. All rights reserved. 10

11 Collaborative Master Data Processes Ensure consolidated master data from the beginning Fully control master data creation upfront Collaborative data creation process leveraging SAP Business Process Management, involving SAP NetWeaver BPM 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 Request Check Approve NW MDM Web Service calls Create and syndicate MDM repository contains consolidated and reliable master data fueling enterprise business processes Search 2011 SAP AG. All rights reserved. 11

12 SAP NetWeaver MDM Capabilities Facilitating utmost business process performance Integrate and propagate data Data Integration/ Synchronization Command on data via flexible UI, authorization etc., active data control Data Modeling Data Stewardship Flexible business-level modeling, hierarchy management, and layout composition Manageability System monitoring, transport management, traceability Service-based data access and flexible Workflow integration Data Quality Cleansing, enrichment, deduplication, quality analysis Workflow and Web Services 2011 SAP AG. All rights reserved. 12

13 MDM Technology Capabilities Data Integration/Synchronization - Overview Data Integration/ Synchronization MDM SYSTEM INTEGRATION Integrate Data Advanced Extract, Transform and Load capabilities Field/value mapping and import maps for automated import Automated and manual import Supports point-to-point and brokered integration e.g. utilizing SAP NetWeaver PI or Web services Optional: connectivity with SAP BusinessObjects Data Services for ETL processes Propagate Data Syndication of consolidated information Automated and manual export 2011 SAP AG. All rights reserved. 13

14 Process Flow for Importing Master Data Using native MDM import mechanisms Extraction without user interaction Sequence of this process* 5 MDM MDM Server 4 1) 1 Extract master data from remote systems and transfer to SAP NetWeaver Process Integration MDM Data Manager 3 Import MDM Import Server 2) 2 Transform incoming data and send to MDM Import Server 3) 3 Process data with MDM Import Server and send to MDM Server 2 SAP NetWeaver PI 4) 4 Persist data in MDM repository 5) 5 Access data using MDM Data Manager (or SAP NetWeaver Portal) 1 * Basically the same for both reference data and master data 2011 SAP AG. All rights reserved. 15

15 Integrating Data Start with initialization process MDM remote system extractor* to initialize MDM repositories Run initialization process Retrieve reference data (customizing) from SAP applications like ERP, CRM and SRM Use generic extractor (independent of MDM data model and SAP remote system) Transfer reference data to MDM in an XML format Leverage predefined connection information (MDM ports incl. import maps) Process the XML files with MDM Import Server and import data into MDM repository * SAP Note :This note specifies the PI and PI_BASIS support packages with which the generic extractor is delivered SAP AG. All rights reserved. 16

16 Integrating Data Using MDM Extractor for master data MDM remote system extractor* for automating extraction of master data Run extraction process Extract master data from major SAP applications (R/3, ERP, CRM, SRM, BW) using generic extractor Send data to SAP NetWeaver PI Transform incoming master data and send messages in XML format to MDM Leverage predefined connection information (MDM ports incl. import maps) Process the XML files with MDM Import Server and import data into MDM repository * SAP Note :This note specifies the PI and PI_BASIS support packages with which the generic extractor is delivered SAP AG. All rights reserved. 17

17 Integrating Data Interactively using MDM Import Manager Intuitive UI to import master data from various sources* Required steps to import data Select MDM repository as destination Connect to source data file or database Identify source and destination tables Map fields/ values from source to destination incl. transformation if required Match records based on key fields to identify whether new records should be created or existing records should be updated Import records to transfer data into the MDM repository * MDM Import Server can be utilized for periodic import of master data SAP AG. All rights reserved. 18

18 Integrating Data Leveraging SAP NetWeaver MDM Business Content Predefined business content for multiple business objects and major SAP applications Out-of-the-box data models SAP ERP related model Material Contain data structure mappings for major SAP applications like ERP, CRM and SRM Include matching content for Business Partner and Product data model Can be used as starting point for defining custom data models Vendor Customer Employee Plus integration content Provide generic MDM extractors for reference data and master data MDM business content for SAP NetWeaver PI SAP NetWeaver Portal Suite-related model Business Partner Product 2011 SAP AG. All rights reserved. 19

19 Process Flow for Integrating Master Data Leveraging SAP BusinessObjects Data Services Option to use ETL capabilities of SAP Business Objects Data Services 5 MDM MDM Server Sequence of this process MDM Data Manager 4 1 Extract master data from remote systems using SAP BusinessObjects Data Services 3 Import MDM Import Manager 2 3 Cleanse data, match duplicates and deliver to MDM Import Manager Map data using MDM Import Manager and send to MDM Server 2 SBOP Data Services 4 Persist data in MDM repository 5 Access data using MDM Data Manager for post-processing (or SAP NetWeaver Portal) 1 Third party source systems 2011 SAP AG. All rights reserved. 20

20 Integrating Data Outbound integration with MDM Syndicator Intuitive user interface to distribute master data to various targets Required steps to distribute data Connect to a source MDM repository Define map or apply predefined map, incl. remote system and mapping information Select records to syndicate by searching and suppressing Execute syndication manually or periodically* * MDM Syndication Server can be utilized for periodic distribution of master data 2011 SAP AG. All rights reserved. 21

21 SAP NetWeaver MDM Capabilities Data Modeling - Overview Data Modeling Ensure applicability of data models to your organization Business-level modeling Supporting the needs of the data expert across all data domains Extensibility and ability to built your own models Predefined data models with versatile extension options Model-driven architecture to define custom objects Support for industry-specific requirements Easy modeling capabilities to comply with industry standards such as UNSPSC, ecl@ss 2011 SAP AG. All rights reserved. 22

22 Creating and Maintaining Master Data MDM Data Manager* to search, create, edit, and structure content stored in an MDM repository Easily maintain: Complex hierarchies and taxonomies Reference data Assign values to records via multivalued lookups, hierarchies, and taxonomies Quickly find and update multiple records at once Compare and merge multiple records using side-by-side comparisons * MDM iviews, APIs, and Web services can also be utilized to access master data stored in an MDM repository 2011 SAP AG. All rights reserved. 23

23 Versatile Options in Data Modeling Flexibility for Data Modeling and Complex Objects Support for multi-object repositories Multiple business objects (=main tables) can reside in one and the same repository E.g. supplier and product data can be stored in one repository Records of different main tables can reference each other (new field type Lookup [Main] ) E.g. a supplier can be related to several products Main tables can share the same customizing/lookup tables E.g. the main tables customers and suppliers can be connected to the table countries in order to ensure consistent information about the country of origin of both business partners Support for nested structures New composite data type tuple allows modelling of nested structures E.g. product capacity information depending on plant and location or multiple addresses of a business partner can hold multiple phone numbers 2011 SAP AG. All rights reserved. 24 SAP 2008 / Page 24

24 Consolidated Data for Print Publications Printed catalogs made easy Create printed catalogs in a DTP-like environment 3rd party publishing SW Publishing features include: Clean data basis Automation By seamlessly integrating with MDM repository Leverage MDM data quality features Semi-automation in data publishing Predefined output and page layout MDM Clean data Final DTP Page maximization Creative design Adobe InDesign Manual intervention for layout definition and adjustments Adobe InDesign Plug-in Creative Design DTP Finalization Open interface to third-party publishing software 3rd party publishing SW 2011 SAP AG. All rights reserved. 25

25 SAP NetWeaver MDM Capabilities Data Quality - Overview Data Quality Ensure data consistency for your organization Data cleansing, enrichment and deduplication Normalization and standardization at import incl. field and value mapping UoM conversions Validations and enrichment to ensure compliance with company standards Data quality features (cleansing, rulesbased and interactive matching, comparison and interactive merge) Integration with SAP Business Data Services for advanced DQ (e.g. data profiling, address validation, fuzzy matching, auto-merge, and survivorship) Management of key mapping information 2011 SAP AG. All rights reserved. 26

26 Increasing Data Quality Leveraging ETL from SAP BusinessObjects Data Services Cleanse source data before importing to MDM: Option to use ETL capabilities of SAP BusinessObjects Data Services For initial and incremental data loads to SAP NetWeaver MDM from any source via file and Web services based integration Automated data pre-cleansing that leverages capabilities such as auto merge and survivorship rules Out-of-the-box system connectors 2011 SAP AG. All rights reserved. 27

27 Increasing Data Quality With mapping & conversion Normalization and standardization of information with MDM Import Manager Field Mapping Allows you to map an individual source field to an individual destination field Value Mapping Source fields can be mapped at the value level against the legal destination Conversion Each source value can manually or automatically be converted or reformatted 2011 SAP AG. All rights reserved. 28

28 Increasing Data Quality With validations & assignments Ensure compliance according to defined criteria with Validations and Assignments Validations Can be used to perform all sorts of tests that implement business logic, e.g. Making sure required fields all have a non-null value Making sure non-lookup fields that do not have pick lists to enforce data integrity have a legal value (e.g. Price > 0) Comparing the values of different fields to make sure the relative values are legal (e.g. Price > Cost) 2011 SAP AG. All rights reserved. 29

29 Increasing Data Quality With validations & assignments Assignments Used to calculate and set the value of a field, e.g. Provide users convenient and error-free shortcuts to fill-in fields Set field values depending on workflow events (like Set status ) Expressions MDM expressions are Excel-like formulas that are evaluated by MDM and return a distinct value for each record Used within MDM in validations, assignments, and calculated fields Define complex formulas based on the data values of the record Evaluate those formulas against a group of one or more records 2011 SAP AG. All rights reserved. 30

30 Increasing Data Quality With matching & merging De-duplication of records for unambiguous and consistent master data Matching Locates duplicate records for consolidation within an MDM repository Supports interactive, strategy-based matching and is exposed in the MDM Data Manager* Allows you to: Merging Define matching strategies Apply these strategies to a set of records and view the matching results Uses the matching score to decide which of the potential duplicates to merge Collapses duplicates into a single record * Also available via APIs 2011 SAP AG. All rights reserved. 31

31 Increasing Data Quality With key mapping Provide cross-system identification to ensure enterprise-wide data quality Key Mapping Maintains the relationship between the remote system s identifier (or key) for an object and the corresponding master data object in MDM Provides cross-system identification for reliable, company-wide analytics and business operations Is the main deliverable of Master Data Consolidation 2011 SAP AG. All rights reserved. 32

32 Data Quality Enrichment Adapter Enrichment Adapter Enrichment Adapter Increasing Data Quality With Enrichment Architecture Achieve meaningful master data using SAP BusinessObjects Data Services and external domain expertise partners MDM sends data elements to a data enrichment provider and receives a response containing data to be updated or inserted in a repository. Process is controlled by the Enrichment Controller, which is an Enterprise JavaBean (EJB). Open to domain experts SAP BusinessObjects Data Services XI 3.2 address cleansing and certified ISV solutions can be leveraged in SAP NetWeaver MDM using the MDM Enrichment Architecture SAP Business Objects certified ISV solutions MDM + DS SAP MDM Enrichment Controller MDM MDM Time 2011 SAP AG. All rights reserved. 33 SAP 2008 / Page 33

33 Increasing Data Quality Using DB Views DB Views to Directly Connect SAP NetWeaver MDM with SAP BusinessObjects Use Cases for DB Views SAP BusinessObjects Data Services External Matching Data Quality Assessment / Reporting DB Views are an optimized connectivity option Read-only Tight integration High Performance SAP NetWeaver Master Data Server RDBMS DB Views* SAP BusinessObjects Data Services * available per consulting service, consult your SAP consulting representative 2011 SAP AG. All rights reserved. 34

34 Enhancing BW Data Quality Facilitate trusted analytics Deliver insight with an integrated platform, understand your most profitable products, best customers and cheapest/reliable vendors Leverage MDM capabilities to improve data quality in BW Use MDM de-duplication features to consolidate BW master data Correct historical master data inaccuracies MASTER DATA + TRANSACTIONAL DATA Enables cross system analysis based on consolidated group ID/ MDM key mapping BW/MDM Connection Connection via SAP NW PI or MDM ABAP API BUSINESS INSIGHT BW standard interfaces (Open Hub, DataSource) Generic BW extractor functionality 2011 SAP AG. All rights reserved. 35

35 SAP NetWeaver MDM Capabilities Workflow and Web Services - Overview Workflow and Web Services Ensure role and task based process flow and authorize open access to central master data Service-based data access Allow consumption and CRUD operations on master data through Web service integration Design and create Web services without coding Workflow integration Leverage inherent data management workflow and cross-system business process management 2011 SAP AG. All rights reserved. 36

36 Service-enabled access to master data Using MDM APIs and Web Services Service-enabled access to MDM repository with APIs and Web services MDM APIs (ABAP, Java, and.net) offer a broad functional coverage Administrate MDM Servers and model repositories Access and modify master data Exposes MDM matching capabilities and workflow MDM Web Services are an open interface to the MDM Server Generator for Web services based on specific repository structure Definition of exposed tables and fields through Web UI CRUD operations can be defined on table and field level xxxx 2011 SAP AG. All rights reserved. 37

37 Integrating Data MDM Web Services (starting with SP04) Specific MDM Web Services as of SAP NetWeaver MDM 7.1 SP04 Check in/check out Records Update/Get Key Mapping Execute Validations Launch/Get Workflow Status Execute Assignments Matching Syndication* * available as of SAP NetWeaver MDM 7.1 SP SAP AG. All rights reserved. 38

38 Managing Master Data Operations Leverage built-in data management workflows to manage compliance process Workflows* Consist of a sequence of steps that allow you to orchestrate a series of operations that include user tasks, validations, and approvals to automate business processes at the data management level *) - MDM workflow tasks can also be accessed in the Universal Worklist (UWL) via SAP NetWeaver Portal. - SAP NetWeaver MDM can also be integrated with SAP NetWeaver Business Process Management (BPM) 2011 SAP AG. All rights reserved. 39

39 SAP NetWeaver MDM and BPM A Perfect Match Collaborative master data creation process Orchestration of flexible master data creation and maintenance processes Multiple approval levels e.g. different managers or departments SAP NetWeaver BPM Sustained data quality checks and global duplicate checks prior to data creation ensure high quality master data Request Check Approve Web Service calls MDM repository contains consolidated and reliable master data fueling enterprise business processes Search MDM Create and syndicate 2011 SAP AG. All rights reserved. 40

40 Generic MDM infrastructure with BPM Integration Architecture Process Layer Workflow and Rules, Services User Interface Layer Role Based UI UI UI SAP MDM SAP ERP SAP CRM non SAP SBOP DS Profess Layer: Based on SAP NW BPM, MDM Services can be consumed (generic services in SAP NetWeaver MDM 7.1 (<=SP3), specific services in SAP NetWeaver MDM 7.1 SP04, SP05) User Interface Layer: Java Web Dynpro components (delivered with SAP NetWeaver MDM 7.1 SP04, SP05 or customer specific components based on SAP NetWeaver MDM 7.1)

41 SAP NetWeaver MDM Capabilities Data Stewardship - Overview Data Stewardship Empower data stewards with MDM features they need Appropriate User Interfaces to take action Role-specific, web-based data management Integrated within the Enterprise Portal or standalone deployment Authorization management Role-based access, views & rights, workflow definition Command on data management: measure, monitor, improve Mass maintenance support Various search options (drill-down-, attribute-, keyword-search etc.) Connectivity to SAP Business Data Services for data profiling, data lineage, and impact analysis 2011 SAP AG. All rights reserved. 42

42 Accessing Data in a Role-Based Manner Flexible UI strategy Select the UI strategy for your purpose Windows UIs for sophisticated key user master data operations (e.g. mass changes) and administrative tasks MDM WebDynpro UI components for collaborative MDM, e.g., in conjunction with SAP NetWeaver BPM* MDM iview library provides a set of configurable iviews to access an MDM repository in multiple dimensions MDM iviews are Totally adaptive to the schema structure of the MDM repository to which they are connected Fully collaborative with other iviews on the page * available as of SAP NetWeaver MDM 7.1 SP SAP AG. All rights reserved. 43

43 High-performance Data Search Using Drilldown Capabilities Search entire repository and any item located in a matter of seconds MDM s drilldown search has the following features: All possible values are always displayed in pick lists from which one or more values can be selected Pick lists are continuously updated to include only values that are currently valid Multidimensional selections can be made simultaneously from among different search parameters (such as category, manufacturer, attributes, and keyword) and in any order MDM also includes free-form search incl. a literal search that accepts typed values and a keyword search that can match keywords in any or all of the fields Parametric Search Process of finding records by selecting attributes and/or values (parameters) that must be matched in the records searched 2011 SAP AG. All rights reserved. 44

44 SAP NetWeaver MDM Capabilities Manageability Manageability Ensure technical operation and manageability of MDM Track Monitor Manage System Monitoring CCMS and Solution Manager Diagnostic monitoring, root cause analysis Change and Transport Management Integration with SAP Change and Transport System (CTS+) Comprehensive Authorization Concept and User Management Supports authorization concepts; LDAP integration Traceability Clear change tracking and visualization of data changes User- and roles-based maintenance activities documented in audit logs 2011 SAP AG. All rights reserved. 45

45 Auditing & Compliance Clear change tracking UI to visualize data changes Authorization concept definition in MDM Console User- and roles-based maintenance activities documented in audit logs 2011 SAP AG. All rights reserved. 46

46 SAP NetWeaver MDM Info Collector Snapshot of system performance Speed up support through streamlined problem analysis Collect all relevant system performance in a single reporting environment Beneficial for SAP support and customer 2011 SAP AG. All rights reserved. 47

47 Ensuring Technical Operations As a prerequisite for top-notch master data management, SAP NetWeaver MDM ensures reliability of technical operations For a complete picture of how MDM ensures technical operations (such as monitoring, transport management etc.) see the Solution Operations Guide 2011 SAP AG. All rights reserved. 48

48 SAP NetWeaver Master Data Management 7.1 Cross-domain MDM Infrastructure Great flexibility in data modeling and support for complex data structures Optimized inbound & outbound processing, e.g. Native MDM adapter for SAP NetWeaver PI Option to use SAP BusinessObjects Data Services for integration of external data sources Integration with SAP NetWeaver standard administration and life-cycle components Optionally leveraging SAP BusinessObjects data quality capabilities Model-driven generation of Web services Integration with SAP NetWeaver BPM for collaborative data management Two of the top three finalists of the Gartner MDM Excellence Awards 2009 are SAP NetWeaver MDM customers. Kraft Foods and BP were ranked 1 st and 2 nd by a team of Gartner analysts based on their successful implementations of very complex MDM projects. Gartner MDM Excellence Awards 2011 winner is SAP NetWeaver MDM customer Lexmark International SAP AG. All rights reserved. 49

49 Summary Key Takeaways SAP NetWeaver MDM is the generic cross-domain infrastructure supporting all domains and use cases in the enterprise. SAP NetWeaver MDM combined with SAP Business Objects Data Services provide unparalleled master data excellence ensuring insight, quality and process enablement Combining SAP NetWeaver MDM and BPM provides a flexible process environment for collaborative master data maintenance in heterogeneous environments SAP will lead the industry in helping our customers to turn master data into a differentiating corporate asset facilitating best-run business execution and decision-making 2011 SAP AG. All rights reserved. 50

50 Thank You! Contact information: Markus Ganser SAP EIM Solution Management Follow us on Twitter

51 2011 SAP AG. All rights reserved No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. Microsoft, Windows, Excel, Outlook, and PowerPoint are registered trademarks of Microsoft Corporation. IBM, DB2, DB2 Universal Database, System i, System i5, System p, System p5, System x, System z, System z10, System z9, z10, z9, iseries, pseries, xseries, zseries, eserver, z/vm, z/os, i5/os, S/390, OS/390, OS/400, AS/400, S/390 Parallel Enterprise Server, PowerVM, Power Architecture, POWER6+, POWER6, POWER5+, POWER5, POWER, OpenPower, PowerPC, BatchPipes, BladeCenter, System Storage, GPFS, HACMP, RETAIN, DB2 Connect, RACF, Redbooks, OS/2, Parallel Sysplex, MVS/ESA, AIX, Intelligent Miner, WebSphere, Netfinity, Tivoli and Informix are trademarks or registered trademarks of IBM Corporation. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. Adobe, the Adobe logo, Acrobat, PostScript, and Reader are either trademarks or registered trademarks of Adobe Systems Incorporated in the United States and/or other countries. Oracle is a registered trademark of Oracle Corporation. UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group. Citrix, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame, and MultiWin are trademarks or registered trademarks of Citrix Systems, Inc. HTML, XML, XHTML and W3C are trademarks or registered trademarks of W3C, World Wide Web Consortium, Massachusetts Institute of Technology. Java is a registered trademark of Sun Microsystems, Inc. JavaScript is a registered trademark of Sun Microsystems, Inc., used under license for technology invented and implemented by Netscape. SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP BusinessObjects Explorer and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries.. Business Objects and the Business Objects logo, BusinessObjects, Crystal Reports, Crystal Decisions, Web Intelligence, Xcelsius, and other Business Objects products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Business Objects Software Ltd. in the United States and in other countries. All other product and service names mentioned are the trademarks of their respective companies. Data contained in this document serves informational purposes only. National product specifications may vary. The information in this document is proprietary to SAP. No part of this document may be reproduced, copied, or transmitted in any form or for any purpose without the express prior written permission of SAP AG. This document is a preliminary version and not subject to your license agreement or any other agreement with SAP. This document contains only intended strategies, developments, and functionalities of the SAP product and is not intended to be binding upon SAP to any particular course of business, product strategy, and/or development. Please note that this document is subject to change and may be changed by SAP at any time without notice. SAP assumes no responsibility for errors or omissions in this document. SAP does not warrant the accuracy or completeness of the information, text, graphics, links, or other items contained within this material. 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 shall have no liability for damages of any kind including without limitation direct, special, indirect, or consequential damages that may result from the use of these materials. This limitation shall not apply in cases of intent or gross negligence. The statutory liability for personal injury and defective products is not affected. SAP has no control over the information that you may access through the use of hot links contained in these materials and does not endorse your use of third-party Web pages nor provide any warranty whatsoever relating to third-party Web pages SAP AG. All rights reserved. 40

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