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Information builders gartner mdm - barcelona 2-7-2013

Information Builders International
Information Builders International

This document discusses key points for executives regarding data governance. It outlines that the purpose of data governance within master data management is to make critical data policy decisions and ensure data is accurate, consistent and reliable. Both business processes and technology are needed for successful data governance. The concepts of data governance aim to treat data as a valuable business asset, like financial assets, through centralized ownership and standard policies. The document also provides examples of how to build a business case for data governance by demonstrating its value across various business operations.

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Welcome! Data Governance for the Executive Raising the Bar Jim Orr Director, Information Management & Thought Leadership Information Builders Barcelona, Spain Only Information Builders achieves above-average ease of use, below-average implementation costs per user, above-average support for complex deployments February 7, 2013 and above-average business benefits. 1
3 Important Points for Executives 1. Define the Purpose 2. Establish the Mindset 3. Demonstrate the Value 2
The Purpose for Data Governance within MDM 1) MDM is LOADED with data policy decisions Data architectures Registry, centralized, co-existence, consolidated Identity resolution Data transformation Data consolidation/survivorship Data ownership rights Data integrity rules Customer/product definitions Change data capture Data conflict resolution 2) The Data Must be Correct Accurate Consistent Reliable Timely 3
Data Governance for MDM Technology or business process? Business process allows the organization to coordinate, establish, and administer corporate data policies and practices. Technology allows for the implementation and automation of data policies established through the data governance business process. It requires both to be successful 4
Data Governance Concepts Dont be fooled by the term and be careful what you call it The term data governance can imply tactical, IT centric data management activities with a flair for bureaucracy. To the contrary it is about Information Asset Management that drives business performance. What you call it and how you view it as an organization can be the difference between success and failure From the book Data Governance for the Executive by James C. Orr 5
Data Governance Concepts Analogy of two assets - Similar but managed very differently Financial Data Assets Data Assets Centralized ownership, authority, Fragmented ownership, little accountability authority or accountability Standard policies and procedures Minimum standards/inefficient or Common chart of accounts non-existent policies/procedures Formal audits Few/no common data models or Security and privacy methods Regulated Limited/no audits Well documented Unregulated Part of planning process Poorly documented Seldom part of planning process Need to treat data like a financial asset. 6
Making and Selling a Business Case for Data Governance (1) Program (2) Data Management (4) Business (5) Organization Strategy & (3) Projects Operations Operations Strategy & Policy Direction Data Quality MDM Sales & Merger & Structure Marketing Acquisition Data Modeling BI Scope Customer Planning & Metadata CRM Service Budget Prioritization Management CDI Risk & Business Partner Policy Data Integration Compliance Integration Roles & DW Data Lineage Order to Cash Data Enrichment Responsibilities EDW Security & Supply Chain Security & Authority & Privacy DM Privacy Accountability Taxes & Fees Data Standards ERP Customer Issue Resolution Social and Definition Business Align. Business Rules 360属 View Human Services Social Media Power to Business Data Migration Mail & Transport Process Big Data Question/Audit Data Integration Asset Mgmt. Transparency Stewardship Business Cloud Weights & Monitoring & Analytics & Balances Metrics Research CoE Reporting Agility to Workflow Five primary areas to find value Respond Management From the book Data Governance for the Executive by James C. Orr 7
Information Asset Management Platform MDM Suite, Data Quality Suite, Integration Suite, Data Steward Portal Join us in the Solutions Showcase!
Thank you for your time and interest today! Business Intelligence Advanced Analytics Performance Management Data Quality Management Master Data Management Data Governance Integration Infrastructure Data Integration Universal Adapter Suite Jim Orr Director, Information Management & Thought Leadership Information Builders, Inc. (719) 534-3116 James_Orr@IBI.com 9

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Information builders gartner mdm - barcelona 2-7-2013

  • 1. Welcome! Data Governance for the Executive Raising the Bar Jim Orr Director, Information Management & Thought Leadership Information Builders Barcelona, Spain Only Information Builders achieves above-average ease of use, below-average implementation costs per user, above-average support for complex deployments February 7, 2013 and above-average business benefits. 1
  • 2. 3 Important Points for Executives 1. Define the Purpose 2. Establish the Mindset 3. Demonstrate the Value 2
  • 3. The Purpose for Data Governance within MDM 1) MDM is LOADED with data policy decisions Data architectures Registry, centralized, co-existence, consolidated Identity resolution Data transformation Data consolidation/survivorship Data ownership rights Data integrity rules Customer/product definitions Change data capture Data conflict resolution 2) The Data Must be Correct Accurate Consistent Reliable Timely 3
  • 4. Data Governance for MDM Technology or business process? Business process allows the organization to coordinate, establish, and administer corporate data policies and practices. Technology allows for the implementation and automation of data policies established through the data governance business process. It requires both to be successful 4
  • 5. Data Governance Concepts Dont be fooled by the term and be careful what you call it The term data governance can imply tactical, IT centric data management activities with a flair for bureaucracy. To the contrary it is about Information Asset Management that drives business performance. What you call it and how you view it as an organization can be the difference between success and failure From the book Data Governance for the Executive by James C. Orr 5
  • 6. Data Governance Concepts Analogy of two assets - Similar but managed very differently Financial Data Assets Data Assets Centralized ownership, authority, Fragmented ownership, little accountability authority or accountability Standard policies and procedures Minimum standards/inefficient or Common chart of accounts non-existent policies/procedures Formal audits Few/no common data models or Security and privacy methods Regulated Limited/no audits Well documented Unregulated Part of planning process Poorly documented Seldom part of planning process Need to treat data like a financial asset. 6
  • 7. Making and Selling a Business Case for Data Governance (1) Program (2) Data Management (4) Business (5) Organization Strategy & (3) Projects Operations Operations Strategy & Policy Direction Data Quality MDM Sales & Merger & Structure Marketing Acquisition Data Modeling BI Scope Customer Planning & Metadata CRM Service Budget Prioritization Management CDI Risk & Business Partner Policy Data Integration Compliance Integration Roles & DW Data Lineage Order to Cash Data Enrichment Responsibilities EDW Security & Supply Chain Security & Authority & Privacy DM Privacy Accountability Taxes & Fees Data Standards ERP Customer Issue Resolution Social and Definition Business Align. Business Rules 360属 View Human Services Social Media Power to Business Data Migration Mail & Transport Process Big Data Question/Audit Data Integration Asset Mgmt. Transparency Stewardship Business Cloud Weights & Monitoring & Analytics & Balances Metrics Research CoE Reporting Agility to Workflow Five primary areas to find value Respond Management From the book Data Governance for the Executive by James C. Orr 7
  • 8. Information Asset Management Platform MDM Suite, Data Quality Suite, Integration Suite, Data Steward Portal Join us in the Solutions Showcase!
  • 9. Thank you for your time and interest today! Business Intelligence Advanced Analytics Performance Management Data Quality Management Master Data Management Data Governance Integration Infrastructure Data Integration Universal Adapter Suite Jim Orr Director, Information Management & Thought Leadership Information Builders, Inc. (719) 534-3116 James_Orr@IBI.com 9

Editor's Notes

  • #9: Integrity talking points and information for Sales RepsData governance manager brings visibility into data quality across all data sources and measures it at a data and business levelMDM, collectively with the integrity suite provide a single, accurate, and trustworthy view of the businessWorks with all data types and technical environmentsIntegrated real time and batch deployment capabilitiesDQ Portal (Issue Tracker) provides work flow automation for data stewards and work groups.Data quality firewall prevents data from entering the system at the sourcePerformance can be monitored, measured, and reported at a data, standards, events, and business entity levelCollectively manages the complete data life cycle within an organization