by Angela Guess
Michael Stiffler recently shared some pointers to keep in mind while implementing a data governance program. First off, Stiffler notes, “Data governance is an iterative program. You need to set the expectation that the program will evolve, especially as the company’s business requirements evolve. For instance, you may have to adjust your framework to include other areas that are now important to the business. Or perhaps you understand the corporate culture a little better now and need to adjust your approach to increase your chances of being successful.”
He adds, “Don’t do data governance just for the sake of doing data governance. You need to understand the key business drivers, and tie data governance to activities that will actually increase business value. What business pains can be mitigated through data governance? How should they be prioritized? These are questions you’ll need to answer.”
One question to ask is, “Are you able to measure success? How does the business define success? Dashboards and scorecards are one way of measuring and showing improvements to your data (which is one definition of success). This may also resonate better with the business folks, especially if you have gotten their input in defining ‘success.’”
photo credit: stevendepolo
