Data Governance

I attended an all day session by Danette McGilvray titled “Ten Steps to Quality Data and Trusted Information” at the IAIDQ Conference. The session provided a really nice framework that you can follow, step-by-step, to implement a strong Data Quality Program in your organization. Danette is the President and Principal of Granite Falls Consulting, Inc. a firm “specializing in data quality management to support key business processes around customer satisfaction, decision support, supply chain management, and operational excellence.” Throughout the presentation it became very obvious that Danette has “been there and done that” many times over. Her examples of successes and failures on projects she has worked on throughout her career really helped crystallize why her ten steps are effective.
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On the first day at the Information and Data Quality Conference, I attended the session, “Using Data Profiling for Proactive Data Quality Improvement“. That session was for the first half of the day, so for the second half I attended the Len Silverston session titled “Power and Politics in Data Quality Improvement Efforts“. This was a great session that had very little to do with data theory and data management, and a lot to do with interoffice dynamics. The session opened up with the question, “What is the biggest problem in data quality today?” Many good answers were tossed out by the attendees, but I think the answer that Len submitted trumped them all… read on for the answer.
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