Right now many enterprise data producers behave like monopolies. They set the standards for what they produce and the downstream applications have no choice but to take what they get. This is a fundamental problem with most enterprise data architectures. This behavior encourages chaotic environments and cost business billions of dollars in wasted effort.
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Tags: Data, data governance, Data Quality, data steward, governance, WaMu
Data Governance Fundamentals, Data Quality, Idle Thoughts, Organizational Behavior, Prime Business Decision Loop | TomJ March 18, 2009 |
Comments (2)
Much has been written about the technical side of data governance, but we continue to give minimal treatment to the human side of the equation. I think that is in part due to the fact that as IT professionals, we tend to look for technical solutions to problems. But what do you do when the IT people are the problem? Is data governance really an Industrial / Organizational Psychology problem?
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