"Flavors" of Data Governance: A Framework-Based Approach to Choosing the Right Program Structure
Gwen Thomas
President
The Data Governance Institute
Monday 9:00am - 12:15pm
Level: Data Management - Advanced
Gartner suggests that only 10% of Data Governance programs will succeed. But 100% of the ones we’ve been involved with have met their marks.
What’s the difference? Knowing which of the six “flavors” of governance to introduce. This session mixes theory with case studies as we introduce the 6 most common flavors of data governance. Participants will complete exercises to define their own goals, stakeholders, and key activities as they learn
- The typical goals of each unique flavor of governance
- The best program owners and org structures for each flavor of governance/stewardship
- Value statements for scoping and scaling your program.
- How to map a flavor to enterprise initiatives such as SOA and MDM
- How to adjust course if your program is stagnating or faltering.
- A data governance framework that ties program missions, goals, and metrics to people, process, decision rights, accountabilities, controls, and data rules and definitions.
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| Gwen Thomas is President of The Data Governance Institute, which provides publications, training, and consulting in the areas of data governance, stewardship, management, and regulatory compliance. She is also publisher of the Institute's website, "www.DataGovernance.com", which is the web's largest collection of vendor-neutral information and humor about data governance. Gwen has designed Data Governance programs for Sallie Mae, Wachovia Banks, NDCHealth/Wolters Kluwer, Disney, Coors, and others, often partnering with organizations such as IBM and systems integrator CIBER. As an employee of CIBER, she designed their Sarbanes-Oxley practice and worked with a series of large and mid-sized organizations to reduce risk in data integration, web portals, and content projects. A frequent presenter at industry data events and contributor to IT and business publications, Gwen is author of the industry's first how-to book for Data Governance: Alpha Males and Data Disasters: The Case for Data Governance.
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