The models of data stewardship: how to run a data governance program
Date: Dec 18, 2009
Even though data governance was born out of business intelligence (BI), many IT and business professionals still don't fully understand the data governance process, the roles and responsibilities of BI teams on governance programs, or how to set up a data stewardship function, according to industry experts Jill Dyche and Kimberly Nevala.
Related resources on data governance and data stewardship:
In this video interview from the fall 2009 TDWI World Conference, Dyche, partner and co-founder of Baseline Consulting, and Nevala, a senior consultant at Baseline, give tips on how to manage data governance programs and detail what they've defined as the five models of data stewardship. In addition, they discuss the benefits that BI teams can get from data governance programs, the need to measure the success of governance initiatives and the importance of giving data stewards the authority and accountability that's required to succeed in that role.
In this 11-minute videocast, viewers will learn:
- What BI and IT professionals need to know about data governance
- What the five models of data stewardship are, and what organizations need to consider before choosing one
- The extent of the authority that data stewards typically have and whether it's enough for them to do their jobs effectively
- The governance and stewardship issues that generate the most interest among BI and IT pros, and why
- The major roadblocks companies run into when implementing a data governance or data stewardship initiative
Related resources on data governance and data stewardship:
- Learn how to create a successful data stewardship program
- Learn the difference between data governance and IT governance
- Find out how one healthcare company received unexpected benefits from their data governance software
- Get data governance and data stewardship strategies and best practices