When it comes to succeeding with data quality, you might gain an edge by avoiding a centralized approach, argues one data governance director.
Alan D. Duncan is the director of data governance at the University of New South Wales, Australia. In a recent MIKE 2.0 blog post, Duncan reacts to a survey finding that a “lack of centralized approach” is linked with inaccurate data. He questions whether it’s really lack of centralization or actually a complete lack of any structure.
Duncan’s premise, as he explains in some detail for InformationAction, is this: The social and cultural character of your organization should shape how you handle data governance. That means there will be a many different ways to structure governance, but broadly speaking, he identified three: