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BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
BO Information Steward 4.2 update
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BO Information Steward 4.2 update

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SAP BO IS 4.2 update

SAP BO IS 4.2 update

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  • 1. Information Steward 4.2 UpdateOverview – What’s New
  • 2. © 2013 SAP AG. All rights reserved. 2Agenda Key Themes That Drive Development of IM Software at SAP Big Data Smart and Simple Information Governance Enterprise Enhancements
  • 3. © 2013 SAP AG. All rights reserved. 3Information ManagementBuilding on themes our customers care about mostSmart & SimpleInformationGovernanceBig DataIntelligentIntuitiveFlexibleQuality DataAcross ProcessesFor AnalyticsVolumeVarietyVelocityEnterprise ReadyRobustness  Reliability  Performance
  • 4. Smart & Simple
  • 5. © 2013 SAP AG. All rights reserved. 5What’s New for Smart & SimpleImprove productivity with suggestions and intuitive UIData Quality Advisor Content Type Discovery Data Validation Data Cleansing
  • 6. © 2013 SAP AG. All rights reserved. 6Information StewardData Quality AdvisorData Quality AdvisorData Services WorkbenchRecommend TuneDSISData Quality Advisor guides data stewards to rapidly develop a solutionto measure and improve the quality of their information assets Data Profiling Content TypeDiscovery Validation Rules Cleansing Rules Match Rules View Before /After Results Fine Tune WithWhat-If Analysis Publish RulesAssessDeveloperData Steward
  • 7. © 2013 SAP AG. All rights reserved. 7DQA - Content Type DiscoveryGo beyond statistical data profiling todiscover meaningful business content Content discovery for more than 20 typessuch as names, addresses, and emails Ability for software to make validation andcleansing recommendationsData Quality AdvisorAssess Recommend Tune
  • 8. © 2013 SAP AG. All rights reserved. 8DQA - Data ValidationGuides Data Stewards to rapidlydevelop validation rules to measurethe quality of their informationassets Advisor suggests validation rulesbased on statistical analysis andcontent type Learning system suggestsapplication of existing rules to othernew data with similar contentData Quality AdvisorAssess Recommend Tune
  • 9. © 2013 SAP AG. All rights reserved. 9DQA - Data CleansingGuides Data Stewards to rapidly develop cleansingand matching rules to improve the quality of theirinformation assetsBy automatically suggesting business rules for… Parsing and StandardizationTo ensure consistent data Correction and EnrichmentTo ensure correct and complete data MatchingTo determine which records refer to the same entityFirst Name: BobMiddle Name: E.Last Name: OldsteadPrimary Address: 175Riviington AveSecondary Address: Ste 2City: ManhattenState: New YourkPhone: (800) 555-9875First Name: BobMiddle Name: E.Last Name: OldsteadPrimary Address: 175Rivington AveSecondary Address: Ste 2City: ManhattanState: New YorkPostal Code: 10002Phone: (800) 555-9875Bob e. oldstead175 Riviington avenue suite 2Manhatten, new yourk800-555-9875First Name: RobertLast Name: OldsteadPhone: (800) 555-9875MatchData Quality AdvisorAssess Recommend Tune
  • 10. © 2013 SAP AG. All rights reserved. 10DQA - Data CleansingGuides Data Stewards to rapidly develop cleansing and matching rules to improve thequality of their information assetsBy visualizing cleansing and matching rules with an intuitive, data-driven interface Easily adjust standardization options View potential duplicates, including near matches Adjust match criteria thresholds with what-if analysisData Quality AdvisorAssess Recommend Tune
  • 11. InformationGovernance
  • 12. © 2013 SAP AG. All rights reserved. 12What’s New In Information GovernanceImprove the business value of your information• Data Quality Financial Impact Analysis• Sybase PowerDesigner Integration• Matching and Best Record Creation• Validation Rule Approval with My Worklist
  • 13. © 2013 SAP AG. All rights reserved. 13Data Quality Financial Impact AnalysisCalculate the financial ROI of dataquality and information governanceinitiatives Understand how bad data affectsbusiness Identify potential savings using what-ifanalysis of quality level and costs Track metrics of financial impact perfailureIS
  • 14. © 2013 SAP AG. All rights reserved. 14Data Quality Financial Impact Analysis – DetailsGraphical view for financial impact of Data Quality issues Including cost trendIS
  • 15. © 2013 SAP AG. All rights reserved. 15Data Quality Financial Impact Analysis – DetailsTabular view for financial impact of Data Quality issuesIS
  • 16. © 2013 SAP AG. All rights reserved. 16Data Quality Financial Impact Analysis – DetailsGraphical view for what-if analysis to understand potential savingsIS
  • 17. © 2013 SAP AG. All rights reserved. 17Data Quality Financial Impact Analysis – DetailsSetup for Cost Per Failure for each validation ruleIS
  • 18. © 2013 SAP AG. All rights reserved. 18Sybase PowerDesigner IntegrationConnect PowerDesigner models and rulesto actual implementations Impact and lineage analysis from designmodels in PowerDesigner to physicalRDBMS to ETL to DW to BI implementation Improve DQ and compliance with re-use ofbusiness model domains and their rules One central business glossary withPowerDesigner’s business terms integratedwith MetapediaIS
  • 19. © 2013 SAP AG. All rights reserved. 19Sybase PowerDesigner Integration – DetailsPowerDesigner metadatacollection for conceptual,logical, and physical datamodelsISPDM metadata details ofPhysical Diagrams,Business Rules, Domains,References, Tables, relatedLogical models and so on.
  • 20. © 2013 SAP AG. All rights reserved. 20Sybase PowerDesigner Integration – DetailsTable and column details forphysical data modelIS
  • 21. © 2013 SAP AG. All rights reserved. 21Sybase PowerDesigner Integration – DetailsLineage analysis from BI reports to PD modelsIS
  • 22. © 2013 SAP AG. All rights reserved. 22Sybase PowerDesigner Integration – DetailsBusiness rule details and impact analysis of business rules in PD modelsIS
  • 23. © 2013 SAP AG. All rights reserved. 23Sybase PowerDesigner Integration – DetailsPowerDesigner’s business terms imported into Metapedia, preserving all relationshipsand associationsIS
  • 24. © 2013 SAP AG. All rights reserved. 24Matching and Best Record CreationPrimarily for data migrationRevamped UI gives users control overmanual matching and best record creation Consolidate duplicate records into a singlegolden record (best record) Minimize manual effort with customizablebest record survivorship rules Establish governance process for approvalof best records Move mismatched and unique records intothe group where they belong Combine multiple match groupsIS
  • 25. © 2013 SAP AG. All rights reserved. 25Manually Create Best Record IS Drag and drop source fields to form best record Manually edit the best record fields Review how best record is formedBest RecordFields
  • 26. © 2013 SAP AG. All rights reserved. 26Best Record Strategies in Match Review Configuration ISEnforce best practices and minimize manual efforts
  • 27. © 2013 SAP AG. All rights reserved. 27Moving Records Between Match Groups ISMove Out => Search for target match groupMove In => Search for records (including unique records)
  • 28. © 2013 SAP AG. All rights reserved. 28Create New Match Group ISCreate new group from two or more records (including unique records)
  • 29. © 2013 SAP AG. All rights reserved. 29Validation Rule Approval with My WorklistIntegrate rule approval with My Worklist Centralize all approval processes such as Metapedia term approval and data review. Enforce governance by assigning Rule Authors and Approvals, due datesComplex Operational DataIS
  • 30. Big Data
  • 31. © 2013 SAP AG. All rights reserved. 31What’s New In Big DataUnlock value from new data sources in real time• Harness the Power of HANA
  • 32. © 2013 SAP AG. All rights reserved. 32Harness the POWER of HANAInstant response and faster time-to-value byharnessing the power of HANA Real-time insight into your data with instantprofiling and data quality validations Push down data processing to HANA for fasterand more efficient processes Parallel operations with Data Services andHANA• HANA pushdown for Value attributes, String Length,Completeness, as well as Value Distribution• Data Services performs pattern distribution and valuedistribution if selectedDSIS
  • 33. EnterpriseReadiness
  • 34. © 2013 SAP AG. All rights reserved. 34What’s New In Enterprise EnhancementsConstantly improving robustness, reliability, performanceInformation Steward Enhancements HTML5 UI for Scorecards Enhanced Information Steward Views Enhanced Metapedia Search Performance and Scalability
  • 35. © 2013 SAP AG. All rights reserved. 35HTML5 UI for ScorecardsModernizing UI technology HTML5 UI with new visual styles for Shared URL for DQ Scorecard Financial Impact AnalysisISNote:
  • 36. © 2013 SAP AG. All rights reserved. 36Enhanced Information Steward ViewsPrepare simplified view and enableadvanced rule development Enable reuse and simplicity with ability tobuild IS views on top of IS views Ability to look up inside IS views to simplifybusiness users’ view of the data and ruledevelopmentIS
  • 37. © 2013 SAP AG. All rights reserved. 37Enhanced Metapedia SearchMetapedia search capability consistent with Metadata ManagementIS
  • 38. © 2013 SAP AG. All rights reserved. 38Additional Information Steward ImprovementsEase of Use, Performance, Scalability SQL Anywhere support for repository Server-based connections Bulk loading of failed dataIS
  • 39. © 2013 SAP AG. All rights reserved. 39You should now be able to Describe the key themes that guide development of SAPInformation Management software Describe new features available in Information Steward 4.2Run through a demo of SAP Information Steward 4.2 on yourown timehttp://scn.sap.com/community/enterprise-information-managementSummary
  • 40. © 2013 SAP AG. All rights reserved. 40Summary
  • 41. © 2013 SAP AG. All rights reserved. 41Enterprise Information Management with SAPRegister to Win a Free Copy!• Understand the big picture of SAP’senterprise information managementofferings• Explore step-by-step instructions for workingwith SAP Data Services• Learn how to perform the most importanttasks in SAP Information Steward, SAPNetWeaver Information LifecycleManagement, SAP Master DataGovernance, and more• All royalties donated to Doctors WithoutBordersReviews are in!A consistent Top 10Best-seller with SAPPress!Register to win*:http://fm.sap.com/eimbooks*One winner will be randomly selected from Webinar registrants
  • 42. Thank you

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