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SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
SAP MDG EE (Enterprise Edition)
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SAP MDG EE (Enterprise Edition)

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This version of SAP MDG runs on HANA …

This version of SAP MDG runs on HANA
Slides 35- 44 offer more details

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  • 1. How to win quickly with the Data Governance solutions from SAP? roman.rytov@sap.com
  • 2. © 2011 SAP AG. All rights reserved. 2 • Understand the big picture of SAP’s enterprise information management offerings • Explore step-by-step instructions for working with SAP solutions for Information Management • Learn how to perform the most important tasks with SAP Information Steward, SAP Data Services, SAP Master Governance, SAP NetWeaver Information Lifecycle Management, and more • All royalties donated to Doctors Without Borders Reviews are in! A consistent Top 10 Best-seller with SAP Press! We wrote the book on it! Enterprise Information Management with SAP
  • 3. © 2011 SAP AG. All rights reserved. 3 What is Master Data? Master Transactional Reference Meta Reporting Logs Archived Frequency of changes Degree of sharing Infrequently changed Shared across the enterprise Materials Routes Employees Suppliers Charts of Accounts Locations Contractors Digital Assets Cost/Profit Center Product/Article Equipment Customers Planes
  • 4. © 2011 SAP AG. All rights reserved. 4 All lines of business are impacted by master data quality  High master data maintenance costs  Need for multiple systems to manage master data in different domains  Lack of flexibility in dynamic business environments  Lack of consolidated view of customer data across all channels  Customer transactions are compromised due to limited view of the facts  Lack of transparency relating to suppliers and products  High costs due to insufficient supplier selection and rationalization  Loss of potential for benefit realization (i.e. discounts, conditions, central contracts)  Limited availability of up-to- date master data in my business network  Inconsistent financial master data across the enterprise  Manual efforts to update financial master data in local financial systems  Risk of non-compliance to IFRS, SOX etc.  Slow group closes  Lack of transparency about changes (Who, what, when, why?) Organizations & Roles Challenges IT CIOCFO VP of Supply Chain VP of Planning Financials Sales VP of Sales VP of Marketing Supply Chain
  • 5. © 2011 SAP AG. All rights reserved. 5 Master data challenges Materialize across the organization Reduced Sales Effectiveness Lack of consolidated view of customer data across all channels Customer transactions are compromised due to limited view of the facts Sub-optimal Procurement Decisions Lack of transparency relating to suppliers and products High costs due to insufficient supplier selection and rationalization Delayed Go-to-Market Process Failure to capitalize on market opportunity when introducing new products Lack of real-time collaboration with front office, thus hindering customer services Ineffective Business Decisions Lack of consistent information impedes to make critical decisions supporting innovation Compromised business dynamics with negative impact on managing resources effectively
  • 6. © 2011 SAP AG. All rights reserved. 6 Getting master data right in this complex landscape requires better information governance Mill Products Mining Chemicals Automotive Defense & Security Oil & Gas Healthcare Engineering,Construction & Operations Industrial Machinery & Components HighTech Aerospace & Defense Life Sciences Retail Utilities Higher Education & Research Insurance Consumer Products Wholesale Distribution Professional Services Public Sector Banking Media Telecommunications Travel & Logistics Services Master data is the “DNA” of the enterprise * Customer Relationship Management ** Product Lifecycle Management Procurement Supply Chain Customer PLM Finance Manufacturing Master Data
  • 7. © 2011 SAP AG. All rights reserved. 7 Information Governance is not just technology Information Governance A discipline that includes people, processes, policies, and metrics for the oversight of enterprise information to improve the business value High Value Information: Optimized Business Processes Reliable Analytics/Reports Timely Mergers and Acquisitions Compliance with Laws and Regulations ProcessPeople Policies & Standards Metrics
  • 8. © 2011 SAP AG. All rights reserved. 8 10 Questions that Will Shape Your Information Governance Program What business priority is enabled most by quality information? What data fields and aspects of data are the most important to govern? What are the potential benefits of governing this information? Who are the stakeholders for the business priority? What is the perceived and actual level of data quality? What processes and systems are used to create and update information? Are there standards in place today? What technology is used to govern information today? How can I ensure success? What does great information management look like? © MCV LLC 1 2 4 5 6 3 7 8 9 10
  • 9. © 2011 SAP AG. All rights reserved. 9 Information Data Governance Workshops Chicago: August 8 http://goo.gl/BKBUV
  • 10. © 2011 SAP AG. All rights reserved. 10 Information Governance Workshop Agenda
  • 11. © 2011 SAP AG. All rights reserved. 11 ASUG Data Governance Year-Round Community Meeting Atlanta: October 7-9 http://goo.gl/54NYf
  • 12. © 2011 SAP AG. All rights reserved. 12 Planned innovations Future directionSolution today Overview of SAP road map for Enterprise MDM solution Consolidate Create Systems under central governance Systems not under central governance Master data Procurement Supply Chain Customer PLM Finance Manufacturing Master Data SAP MDG, enterprise edition SAP NW MDM SAP MDG
  • 13. © 2011 SAP AG. All rights reserved. 13 Solution today Planned innovations Future direction Overview of SAP road map for Enterprise MDM solution Consolidate Create Systems under central governance Systems not under central governance Master data SAP MDG, enterprise edition SAP NW MDM SAP MDG Procurement Supply Chain Customer PLM Finance Manufacturing Master Data
  • 14. © 2011 SAP AG. All rights reserved. 14 SAP offers solutions for the entire range of MDM problems Systems under central governance LoB Customer LoB Procurement Other LoB Systems not under central governance Legacy systems Reporting and analytics Business partners LoB Finance LoB PLM Enterprise master data Consolidate Create Cloud
  • 15. © 2011 SAP AG. All rights reserved. 15
  • 16. © 2011 SAP AG. All rights reserved. 16 Data Quality Interface Search / Dupl. Check Change Request Analytics Key / Value Mapping Rules Engine UI Framework Metadata Data Model/Schema User Interfaces Data Ownership Data Replication Validations Workflows Staging MDM Project AnatomySAP capitalizes on its unfair advantage
  • 17. © 2011 SAP AG. All rights reserved. 17 Integrated in Application Server (ABAP) Data Quality Interface Search / Dupl. Check Change Request Analytics Key / Value Mapping Rules Engine UI Framework Metadata Material Customer Supplier C.OfAccounts CostCenter ProfitCenter Company Customer-defined User Interfaces Data Ownership Data Replication Validations Workflows Staging SAP capitalizes on its unfair advantage Master Data Governance Applications
  • 18. © 2011 SAP AG. All rights reserved. 18 SAP capitalizes on its unfair advantage Integrated in Application Server (ABAP) Data Quality Interface Search / Dupl. Check Change Request Analytics Key / Value Mapping Rules Engine UI Framework Metadata Material Customer Supplier C.OfAccounts CostCenter ProfitCenter Company Customer-defined User Interfaces Data Ownership Data Replication Validations Workflows Staging Master Data Governance Applications SAP Information Management Suite NetWeaver MDM Enterprise Search Data Services Information Steward ERP SRM CRM SCM Cloud Systems 3rd Party On Premise Apps
  • 19. © 2011 SAP AG. All rights reserved. 19 SAP Master Data Governance Centrally govern master data on top of SAP Business Suite SAP MDG is a natural extension of the business processes running in SAP Business Suite, providing out-of-the-box, domain-specific master data governance to centrally create, change and distribute master data. Governance Enables governance, compliance and transparency through integrated staging, approval and central audit trail Consistent Data Delivers consistent definition, authorization and replication of key master data entities for SAP. Eliminates error prone manual maintenance processes for master data in multiple systems Integration Native integration with SAP Business Suite and SAP ERP Re-use Re-use of SAP data model, UI and existing business logic and configuration for creation and validation of master data Data Quality Integrates with SAP BusinessObjects Data Services for data quality and data enrichment as well as SAP BusinessObjects Information Steward for data remediation NW MDM & MDG Can complement and extend SAP NetWeaver MDM
  • 20. © 2011 SAP AG. All rights reserved. 20 Process Excellence with Master Data Governance Before E-mail phone call Collect information from various sources Local application Manual re-entry File upload custom interface Request change Approve change Execute change Distribution
  • 21. © 2011 SAP AG. All rights reserved. 21 SAP Master Data Governance Process flow archetype Maintain Validate Approve Replicate Adapt 3rd party systems Business Suite systems Business Processes SAP Master Data Governance Central maintenance of master data in staging area Automatic replication to non- SAP and SAP systems Adaptation / Enrichment in local systems 5 Maintain Validate Approve Replicate Adapt 5 External Providers External Services Re-Use existing business logic Integrate external services Data Enrichment, Address Cleansing, Duplicate Check Collaboration Adaptable Workflow Auditable Change Process
  • 22. © 2011 SAP AG. All rights reserved. 22 Process Excellence with Master Data Governance Before E-mail phone call Collect information from various sources Local application Manual re-entry File upload custom interface Request change Approve change Execute change Distribution After Enterprise Services Down-/Upload ALE Audit trail Check against application logic One repository for insights about the impact of the change MDG workflow
  • 23. © 2011 SAP AG. All rights reserved. 23 User centered design Work center provides work lists, search and applications
  • 24. © 2011 SAP AG. All rights reserved. 24 Creating a change request Let the system check for business consistency and duplicates
  • 25. © 2011 SAP AG. All rights reserved. 25 SAP Master Data Governance capabilities Facilitating utmost business process performance SAP Master Data Governance Integrated Object Model Robust Data Replication Governance, Collaboration & Data Quality Re-Usability & Extensibility Deliver Out-of-the-Box
  • 26. © 2011 SAP AG. All rights reserved. 26 Deliver out-of-the-box Out-of-the box data replication mechanisms, using stable mechanisms Deliver a Data Model proven by several applications & industries Workflow flexibility closely integrated to a framework for defining business rules Deliver roles on a web based UI Deliver process-centric solution Deliver predefined Data Quality Services Reuse of existing processing logic Full Integration to SAP Systems as a client Offer integration services for non-SAP client systems Low TCO Flexibility Ease of consumption Best Practice Process Transparency Integration
  • 27. © 2011 SAP AG. All rights reserved. 27 Integrated object model Basic&ClassificationData Material FinancialsandControlling Cost Element Org. Units: Company Profit Center Cost Center Chart of Accounts GL Account Consolidation Unit / Group Financials Business Partner Attributes Central Data Bank Details Tax Numbers Roles Industry Sectors Supplier Attributes Customer Attributes General Data Comp. Code Data Purchasing Data Addresses with Usage and Versions Supplier & Customer Org.UnitDataValue Classification General Data & Descriptions Units of Measure Sales Data Plant Data Valuation & Costing EAN, UPC Business Partner Relationships Identification General Data Comp. Code Data Sales Area Data Tax Indicators
  • 28. © 2011 SAP AG. All rights reserved. 28 Governance, collaboration… Can be adapted and tailored based on customer needs Linear or distributed & workflow based Has roles and responsibilities and also task authority (e.g., create, change, approve) Flexible enough to respect the distributed responsibilities existing in a company across various business units Business Logic Possibility to extend the process by adding business logic and thereby bringing in data quality Data in process stored in a separated repository, will be transferred to operational database after final approval Approval
  • 29. © 2011 SAP AG. All rights reserved. 29 …and data quality Prevent creation of duplicates for increased effectiveness and efficiency  Checked early and embedded in the process  High detection quality of matching using Enterprise Search or SAP BusinessObjects Data Services Validations  Re-use of existing validation logic in SAP ERP  Custom validations can be modeled and programmed (e.g. code lists, simple checks, or modeled rules via SAP BRF+) Address Enrichment  Simple check and selection lists  Integration with content provided by SAP BusinessObjects Data Services  Automatically adding Tax Jurisdiction Code re-using existing interfaces / providers
  • 30. © 2011 SAP AG. All rights reserved. 30 Robust data replication Replication  Automatic or manual replication to SAP & non- SAP  Peer-to-peer or mediated Replication Techniques  DRF controlling replication mechanisms like  ALE for SAP ECC, R/3 and non SAP systems  SOA service for SAP and non SAP systems  RFC and File for SAP and non SAP systems  CIF for SAP SCM, and MW for SAP CRM & SRM Replication Features  Flexibility to replicate selected data only to a specific client system by defining filters (controlled by DRF)  Support different object IDs or customizing keys in hub and client systems (mapping in MDG or NW PI)  Monitoring and error handling Process User Data Replication Non-SAP System SAP System
  • 31. © 2011 SAP AG. All rights reserved. 31 Reusability & extensibility Reuse standard content  Reuse existing data structures and functionality of SAP Business Suite Enhance functionality  Be able to enhance MDG functionality based on predefined content (e.g. plant or sales data) or customer-specific extensions Extend data structures  Provide easy-to-use extensibility capabilities for enhancing nodes and fields data model user interface processes data replication Central Team Core Processes Extended Individual Processes Tasks Reused
  • 32. © 2011 SAP AG. All rights reserved. 32 SAP Master Data Governance Summary of the key capabilities Master Data Governance for Financial Data  Create or change Chart of Accounts, GL Accounts, Companies, Profit and Cost Centers, Cost Elements and respective hierarchies  Data distribution to operational systems via Services (SOA) or ALE Master Data Governance for Material Data  Create or change a broad range of material master data attributes, including governed classification  Mass data upload and mass change capabilities  Data quality services such as duplicate check  Data distribution to operational systems via SOA or ALE Master Data Governance for Supplier and Customer Data  Create or change a broad range of supplier or customer master data attributes as well as the underlying business partner attributes  Mass data upload and mass change capabilities  Data quality services such as duplicate check and address validation  Data distribution to operational systems via SOA or ALE Master Data Governance for Custom Objects  Framework for data modeling, UI configuration, validation, and distribution of custom-defined master data objects
  • 33. © 2011 SAP AG. All rights reserved. 33 Future directionSolution today Planned innovations Overview of SAP road map for Enterprise MDM solution Consolidate Create Systems under central governance Systems not under central governance Master data SAP MDG, enterprise edition SAP NW MDM SAP MDG Procurement Supply Chain Customer PLM Finance Manufacturing Master Data
  • 34. © 2011 SAP AG. All rights reserved. 34 Master data is the “DNA” of the enterprise Enterprise MDM must cross the chasm of multiple domains and co-existent scenarios for creation and high volume consolidation of master data Planned innovations Master Data SaaS CRM Analytics Business Networks Information Provider SAP ERP Non-SAP ERP SAP ERP Non-SAP ERP High Volume Consolidation Multiple Domains Central Creation Multiple Domains Consolidation Multiple Domains High Volume Consolidation Multi-domain Distributed Creation Vendor, Supplier Distributed Creation Customer Central Creation Multiple Domains Under Central Governance Not Under Central Governance Distributed Creation Customer
  • 35. © 2011 SAP AG. All rights reserved. 35 SAP MDG, enterprise edition overview Planned innovations SAP MDG, enterprise edition SAP HANA Governance and stewardship processes and business logic Master data services Multi domain Repository Data Standardization Best Record Calculation Enrichment Consolidate Create Distributed Create
  • 36. © 2011 SAP AG. All rights reserved. 36 Marketing Channels/Logistics/Finance Customer AcquisitionCCO Sales & Service Operations Customer Retention & Development Chief Customer Officer Head of Marketing Head of Sales & Service Operations Head of Marketing Customer Analytics Customer Loyalty Management Customer Acquisition Analyze 360 View Offer Sell Deliver Bill Integrate, enrich, and govern a single customer view throughout the entire customer lifecycle to grow a profitable and loyal customer base Integrate, enrich, govern single customer view SAP MDG, enterprise edition Standardize, match, compose best record, enrich Create, maintain, distribute
  • 37. © 2011 SAP AG. All rights reserved. 37 Consolidation  Data modeling: Flexible modeling capability  Extensible Business Partner data model with nested structures  De-duplication and X-ref  Integration with SAP and non-SAP sources  Match on flat data and sub-tables eg. Multiple addresses  Match within the data and with the existing repository  Configurable survivorship rules for calculating best records  Survivorship rules allows data collection e.g. Unique addresses are collected  Best Record creation aka auto merging, identification  Data stewardship for search /explore, view record cluster, rematch, promote best records… Comprehensive consolidation Master Data Governance, enterprise edition
  • 38. © 2011 SAP AG. All rights reserved. 38 Consolidation: Detail view  Extract data from source systems  Map  Transform data  Load data to MDS  Name and Address cleanse and validation  Data standardizati on  Best in class DQ engine  Global address directories  Find duplicates  Fuzzy matching  Exact string matching  Cascade match  Match with external data  Create business rules to define best record  Configurable survivorship rules  Define rules at record and field level  Refine best records  Merge and un-merge best records  Review matches  Bulk edit best records  Search and explore data Extract & Load Cleanse & Standardize Match Create Best Record Stewardship
  • 39. © 2011 SAP AG. All rights reserved. 39 Consolidation: Example Name: Barb Rymes Address: 123 Main Street City: edison Zip: Phone: 7327320001 Gender: Female System: ERP 1 Name: Barbie R Address: 123 Main City: edison Zip: Phone: 2017320001 Acct. Status: Active System: CRM Name: Barbara Ann Rhymes Address: 123 Main St City: edison Zip: Phone: 7327320001 System: Siebel First Name: Barb Family Name: Rhymes House ID: 123 Street Name: Main street City: Edison Zip: 07001 State: New Jersey Phone: 732 – 732 – 0001 Gender: Female First Name: Barbie R Family Name: House ID: 123 Street Name: Main street City: Edison Zip: 07001 State: New Jersey Phone: 201 – 732 – 0001 Acct. Status: Active First Name: Barbara Ann Family Name: Rhymes House ID: 123 Street Name: Main street City: Edison Zip: 07001 State: New Jersey Phone: 732 – 732 - 0001 First Name: Barbara Family Name: Rhymes House ID: 123 Street Name: Main street City: Edison Zip: 07001 State: New Jersey Phone: 732 – 732 – 0001 Gender: Female First Name: Barbie R Family Name: House ID: 123 Street Name: Main street City: Edison Zip: 07001 State: New Jersey Phone: 201 – 732 – 0001 Acct. Status: Active First Name: Barbara Ann Family Name: Rhymes House ID: 123 Street Name: Main street City: Edison Zip: 07001 State: New Jersey Phone: 732 – 732 - 0001 First Name: Barbara Ann Family Name: Rhymes House ID: 123 Street Name: Main street City: Edison Zip: 07001 State: New Jersey Phone: 732 – 732 – 0001 Gender: Female Acct. Status: Active Best record calculated based on the survivorship strategy. Every field’s value is inherited from one of the source records. The best record is eligible for final approval or “unmerge” of the data steward Extract & Load Cleanse & Standardize Match Create Best Record Stewardship
  • 40. © 2011 SAP AG. All rights reserved. 40
  • 41. © 2011 SAP AG. All rights reserved. 41 Customer B2C landscape – create/distribute SaaS Mobile SAP Analytics SAP CRM SAP ERP Sentiment Analysis Non-SAP ERP Information Bureaus/ Marketing Lists Social Networks/ Enrichment Services Match/Survive/ Best Record/Key MappingsDistribute CreateCreate Create Customer Single View
  • 42. © 2011 SAP AG. All rights reserved. 42 Comprehensive consolidation delivery schedule: MDGee 7.0 and beyond Cross-Enterprise Scenarios  Standards compliance: security, software lifecycle, performance and others  APIs/Web-services for CRUD – Fuzzy Search WS – Ability to search for records based on combination of exact and HANA Fuzzy Search – Upsert WS – Ability to insert or update a source record in the hub via a real-time web service call – Retrieve Cluster WS – Ability to obtain additional information about a cluster based on source or best record ID – Retrieve Enrichment WS – ability to obtain enrichment information for a Best Record  Low TCO solution on SAP HANA
  • 43. © 2011 SAP AG. All rights reserved. 43 Customer B2C landscape – create/distribute: Detail view MDGeeRemote Client Local Search Lookup service Local create Enrich Relate/ Connect Actively govern Distribute
  • 44. © 2011 SAP AG. All rights reserved. 44 Lookup service  Runs fuzzy search in the entire hub checking through active customers, former clients, prospects and leads  Creates a local reocrd  This record is (temporarily) is out of sync and isolated Customer B2C landscape – create/distribute: Detail view MDGeeRemote Client Panorama Distribution Company: Panorama Supplies Country: Mexico Company: Panera Distribution Country: Canada Company: Compass Utilities Address: 10 Panorama Pkwy, US Company: Panorama Distribution Address: 400 Summit Blv, Atlanta, US Company: Panorama Holdings Inc Address: 90 Harddrive drive, NY, USA Company: Panorama Distribution Address: 400 Summit Boulevard, Suite 200, Atlanta, GA 30343-2114, USA DUNS: 402444400503 Industry: Wholesale, Utility NAIC#: 49250663 Local create Enrich Relate/ Connect Actively govern Distribute  Trying to create a new entity  Calls “search before create” to avoid duplications  Updates the hub and initializes the process of cross-record rationalization, enrichment and standardization  Standardizes values  Enriches with external service providers  Matches inside the hub  Establishes internal cross- record relationships  Takes over active governance  Controls via MDG change requests  Prioritizes survivorship  Distributes to the enterprise  Updates the local client Local Search
  • 45. © 2011 SAP AG. All rights reserved. 45 Future directionPlanned innovationsSolution today Overview of SAP road map for Enterprise MDM solution Consolidate Create Systems under central governance Systems not under central governance Master data * Not yet officially named SAP MDG, enterprise edition* (New) SAP NW MDM SAP MDG Procurement Supply Chain Customer PLM Finance Manufacturing Master Data
  • 46. © 2011 SAP AG. All rights reserved. 46 Enterprise master data management trends Social Networks Procurement Supply Chain Customer PLM Finance Manufacturing Business Networks Mobile Cloud Enterprise Master Data Management Bridge insight from social and enterprise master data Bridge master data across cloud and on-premise applications and services Seamless exchange of trusted master data with business partners Trusted master data for mobile apps Governance of master data integrated into Line of Business processes and Big Data analytics Multi-vector master data management capabilities
  • 47. © 2011 SAP AG. All rights reserved. 47 Customer Co-Innovation Streams  Enterprise Master Data Management on HANA  Data Enrichment with Third Party  Hierarchies and Relationship Management  Parts360 and FFF (Fit Form Factor)
  • 48. © 2011 SAP AG. All rights reserved. 48 SAP Information Management eBook Available as PDF and iPad app (Search: “SAP IM”) Overview of SAP IM solutions for customers including the following assets:  Videos, customer references, solution collateral, white papers, and infographics Topics covered:  Big data, information governance, content management SAP solutions covered:  SAP Data Services Enterprise  SAP Enterprise Master Data Management  SAP Content Management by OpenText  SAP NetWeaver Information Lifecycle Management
  • 49. Thank you roman.rytov@sap.com http://sap.com/EIM
  • 50. © 2011 SAP AG. All rights reserved. 50 © 2013 SAP AG. Alle Rechte vorbehalten. Weitergabe und Vervielfältigung dieser Publikation oder von Teilen daraus sind, zu welchem Zweck und in welcher Form auch immer, ohne die ausdrückliche schriftliche Genehmigung durch SAP AG nicht gestattet. In dieser Publikation enthaltene Informationen können ohne vorherige Ankündigung geändert werden. Einige der von der SAP AG und ihren Distributoren vermarkteten Softwareprodukte enthalten proprietäre Softwarekomponenten anderer Softwareanbieter. Produkte können länderspezifische Unterschiede aufweisen. Die vorliegenden Unterlagen werden von der SAP AG und ihren Konzernunternehmen („SAP-Konzern“) bereitgestellt und dienen ausschließlich zu Informationszwecken. Der SAP-Konzern übernimmt keinerlei Haftung oder Gewährleistung für Fehler oder Unvollständigkeiten in dieser Publikation. Der SAP-Konzern steht lediglich für Produkte und Dienstleistungen nach der Maßgabe ein, die in der Vereinbarung über die jeweiligen Produkte und Dienstleistungen ausdrücklich geregelt ist. Keine der hierin enthaltenen Informationen ist als zusätzliche Garantie zu interpretieren. SAP und andere in diesem Dokument erwähnte Produkte und Dienstleistungen von SAP sowie die dazugehörigen Logos sind Marken oder eingetragene Marken der SAP AG in Deutschland und verschiedenen anderen Ländern weltweit. Weitere Hinweise und Informationen zum Markenrecht finden Sie unter http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark.

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