Enterprise Information Management. Steve Vazzano, SAP Solutions Engineer Matt Iacoviello Jr, SAP Solutions Engineer

Transcription

1 Enterprise Information Management Steve Vazzano, SAP Solutions Engineer Matt Iacoviello Jr, SAP Solutions Engineer

2 Safe Harbor The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information on this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. 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. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions SAP AG. All rights reserved. 2

3 My Background Owned & operated a data quality company Five years - SAP R/3 Implementation Focus exclusively on SAP Data Management solutions 2014 SAP AG. All rights reserved. 3

4 Agenda SAP Information Steward Overview Live Demonstration 2014 SAP AG. All rights reserved. 4

5 In God we trust, all others bring data. W. Edwards Deming Run Better Smoother business processes Standardized and high quality information Reduced IT costs Make Better Decisions Enhanced customer service Increased marketing effectivness Increased revenue growth Reduce Risk Improved accountability Better accuracy and consistency Compliance with internal and external regulations 2014 SAP AG. All rights reserved. 5

6 Govern Information In Process with SAP Solutions for Enterprise Information Management Information Creation Information Consumption Active Governance Passive Governance Employees Other Systems information SAP information Master Data Governance SAP Business Suite information SAP Information Steward SAP Information Steward SAP Data Services Data Warehouse Customers Other Systems information SAP Data Services information Non SAP Systems Systems of Record information Systems of Analysis 2014 SAP AG. All rights reserved. 6

7 Data Quality Management Cleanse, match, and enhance data quality SAP Information Steward SAP Data Services 2014 SAP AG. All rights reserved. 7

8 SAP Provides Your One-Stop Solution Data Integration, Data Quality, Text Analytics, and Information Stewardship Data Steward / Data Analyst IT / Developer IT / Administrator SAP Information Steward Data Profiling Metadata Management Data Quality Data Integration Text Analytics SAP Data Services Information Platform Services SAP BusinessObjects BI platform 2014 SAP AG. All rights reserved. 8

9 Data Profiling SAP Data Services Your information highway serving SAP and NON-SAP environments SAP ERP, SAP CRM, SAP MDG* and MDM*, SAP NetWeaver BW*, and non-sap systems too! SAP CRM, SAP ERP, SAP NetWeaver, SAP BusinessOne, SuccessFactors SAP HANA, Sybase, Oracle, SQL, DB2, HADOOP PeopleSoft, Oracle Apps, Siebel, SFDC, etc. Files, XML, HTML, Mainframe, Microsoft Excel, text, Qxtend, etc. BAPIs/IDocs/Web Services Impact Analysis Data Services Engine Data Cleansing, Enrichment Data Validation Text Data Processing Data Lineage SAP HANA, BW*, Sybase *SAP NetWeaver Business Warehouse (SAP NetWeaver BW); SAP Master Data Governance; SAP NetWeaver Master Data Management Data Migration, Synchronization, Real-Time, Query, Reporting, Analysis, and Dashboards Improve reliability of analytics 2014 SAP AG. All rights reserved. 9

10 Does this piece fit? 2014 SAP AG. All rights reserved. 10

11 Working together for better information Good vs. Bad Deploy Define business rules IT Deploy business rules Business priorities Business Technical impact Find & fix errors Equip the business 2014 SAP AG. All rights reserved. 11

12 SAP Information Steward

13 SAP Information Steward Product Overview Designed for Business Users Discover Define Assess Monitor Improve Understand & catalog enterprise data Rules and ownership Overall data quality Quality continuously Data quality & governance Business Business users can see how their information measures up against information governance rules and standards. Mobile and alerts IT IT can share data quality metrics with business users and involve them in owning the data problem 2014 SAP AG. All rights reserved. 13

14 Three Important Things 1. Data Lineage / Where Used 2. Business Terms 3. Data Profiling 2014 SAP AG. All rights reserved. 14

15 Single Solution for Data Stewardship Data Quality Scorecards & Analytics Data Lineage & Impact Views Business Glossary Cleansing Rules Data Quality Workflow Validation Rules for Business Process Centric Data Profiling, Advanced Data Profiling Metadata cataloging and analysis Business Concept Taxonomy (Search, tagging, ownership etc.) DQM Functionality for party and non-party data (Create/Maint ain Cleansing Packages) Match Review Task Mgt. ( Review / Correct Match Results) 2014 SAP AG. All rights reserved. 15

16 Information Steward - Metadata Management Information you can trust with end-to-end metadata management Where did this number come from? Report-to-source visibility Lower TCO. Saves time. See quality score of source data Where is this data field used? 2014 SAP AG. All rights reserved. 16

17 Consolidate Centralize and Manage Essential Metadata BI Systems Databases Metadata Integrators Metadata Repository Central Repository Analysis Where did this number come from? How will this change in the source impact my BI reports? Integrate Audit ETL Modeling Tools Impact Usage Lineage Trends Search Data Lineage Impact Analysis Custom Attributes Annotations, Metapedia Business Metadata Universe Creation 2014 SAP AG. All rights reserved. 17

18 SAP Information Steward s Metadata Management Metadata Integrators (native and through additional MITI Bridge) Metadata Management Integration to: BI Systems Databases ETL Modeling Tools Metadata Integrators bundled with Information Steward SAP Software: BI Platform, Data Services, Data Federator and SAP NetWeaver BW NON SAP Software: CWMXML (CWM), RDBMS: MSSQL Server, DB2, Teradata and JDBC Sources Other Metadata Integrators available* Altova Borland CA COBOL Embarcadero EMC Gentleware Silverun Knightbridge (HP) IBM Informatica Micsosoft MicroStrategy NoMagic OMG Oracle SELECT SPARX Systems SUN Sybase Teradata Tigris Visible Systems Corp W3C Metadata Integrators Reduce risk of project delays or cost overruns Other metadata integrators available via Meta Integration Technology, Inc. (MITI); SAP AG. All rights reserved. 18

19 Single Solution for Data Stewardship Data Quality Scorecards & Analytics Data Lineage & Impact Views Business Glossary Cleansing Rules Data Quality Workflow Validation Rules for Business Process Centric Data Profiling, Advanced Data Profiling Metadata cataloging and analysis Business Concept Taxonomy (Search, tagging, ownership etc.) DQM Functionality for party and non-party data (Create/Maint ain Cleansing Packages) Match Review Task Mgt. ( Review / Correct Match Results) 2014 SAP AG. All rights reserved. 19

20 Business Term Encyclopedia An Environment for Managing Business Terms Terms can be imported / exported via Excel Promote proactive data governance with common understanding and agreement on business concepts Central location for defining standard business vocabulary (words, phrases, or business concepts) 2014 SAP AG. All rights reserved. 20

21 Associate Terms with Other Terms and (Any) Objects Enables easier and more usable navigation by Name and Synonym, leading to related terms and associated objects Business definition, Synonyms and Data steward Related business terms Related information / metadata resources 2014 SAP AG. All rights reserved. 21

22 Single Solution for Data Stewardship Data Quality Scorecards & Analytics Data Lineage & Impact Views Business Glossary Cleansing Rules Data Quality Workflow Validation Rules for Business Process Centric Data Profiling, Advanced Data Profiling Metadata cataloging and analysis Business Concept Taxonomy (Search, tagging, ownership etc.) DQM Functionality for party and non-party data (Create/Maint ain Cleansing Packages) Match Review Task Mgt. ( Review / Correct Match Results) 2014 SAP AG. All rights reserved. 22

23 Deep Profiling (Column Analysis) Point and Click (without coding) Profiling summary + statistics Drill down to values Drill down to source records 2014 SAP AG. All rights reserved. 23

24 Advanced Profiling Redundancy Profiling Address Profiling Validate address data Dependency Profiling Identify attribute-level connections in data. (Normalization rules practice) Redundancy Profiling Identify degree of duplication Uniqueness Profiling Identify non-unique data Drill down to duplicate and non-duplicate records 2014 SAP AG. All rights reserved. 24

25 Harness the POWER of HANA IS DS Instant response and faster time-to-value by harnessing the power of HANA Real-time insight into your data with instant profiling and data quality validations Push down data processing to HANA for faster and more efficient processes Parallel operations with Data Services and HANA to support multi-source data processing Note: These are current observations and may be updated later 2014 SAP AG. All rights reserved. 25

26 Visualization of Data Quality High-level balanced Data Quality Scorecard Latest quality score Data quality score metrics Quality trend over time / run Key Quality Dimensions (KPI for data), customizable 2014 SAP AG. All rights reserved. 26

27 Business Value Analysis Data Quality Financial Impact Calculator Connect financial ROI to data quality and information governance initiatives Understand and demonstrate how bad data effects business bottom line Identify potential savings using what-if analysis of quality level and costs See drivers and metrics of financial impact calculation per failure 2014 SAP AG. All rights reserved. 27

28 Find and Fix Compliance Errors within MDG Information Steward Compliance Scorecard within MDG (via RDS*) MDG User Interface Scorecard Embedded in MDG Create Data Remediation Change Requests * Rapid Deployment Solution via SAP Services & partners 2014 SAP AG. All rights reserved. 28

29 Questions? 2014 SAP AG. All rights reserved. 29

30 Demonstration

31 Demonstration Scenario Business Analyst Investigate Data Quality 1. View Report 2. Review Data Lineage 3. Check Data Profile Data Steward Provide Trusted, Consistent, and Clear Information Monitor Data Quality 1. Analyze Data Profile 2. Create New Rule 3. Review Data Scorecard Ensure Continuous Data Quality Monitoring Improve BI Maintenance time and Responsiveness Increase Business Engagement in BI Data Quality 2014 SAP AG. All rights reserved. 31

32 New! Information Governance Model + Self-Assessment Information Governance model: Expand your approach to solving information problems, so you aren t caught in endless cycles of keeping the lights on. Self-assessment: Highlight what good looks like for key organizational and technology components, including which to target. Information as an Asset Roadmap Map your funded, information-heavy projects to strategic EIM initiatives. Result: A vetted, reviewed, and focused plan for your information strategy! Get the tools here: SAP AG. All rights reserved. 32

33 Thank You! Steve Vazzano Solutions Engineer

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