Why Bother with DMMA? - Data Management Professionals

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  • เผยแพร่เมื่อ 12 ก.ย. 2024
  • When doing a DMMA and only answering question 1, "What is/has happened?" is not enough!
    You may get an answer: "Yes, Ok, I see that is the DMMA Score." Unfortunately, they still have differing views on the message. We need to get the answer: "Yes, you are right!".
    We need the stakeholders to agree with the results and why they are at the resultant maturity level. Just showing the interview results and averaging the number doesn't explain the most critical question: Why are we at this maturity level?
    How do we get the RIGHT level of agreement?
    Have you ever tried to answer the WHY question?
    I only started addressing this in the last six months after wondering why our assessments were not achieving the level of change that I expected.
    We can explain why by applying Change Management and Knowledge Management to interpret the DMMA results.
    African Data Management Community Forum 2023-02-23

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