A colleague wrote to me today with the following question:
"Would you be able to point me to information that describes what can make a data governance effort fail? Points about technology problems, organizational politics, a lack of organizational leadership, etc. come to mind. Are you able to expand this list or explain how to avoid failure in a data governance program?"
I get asked this question often and my answer is an easy elevator pitch for anyone looking to explain Data Governance:
"Two things always lead to failure:
- Lack of outcome oriented programs
- Lack of power and accountability in the data governance board.
Of course, no one has a monopoly on screw-ups so there are innumerable additional options for modest and wholesale disaster in any organization run by human beings. Important thing is to be ready for failure and catch them when they are small, institutionalize the learnings, adjust and move forward."
People who say that failure is not an option are dangerous fools. Statistically, failure has the same odds as success, and if you plan for both your program will grow in wisdom and effectiveness - which is the very best from Data Governance that we can all plan for.
What Leads to Data Governance Failure
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