Stop your Data Quality Project and Start your Outcome-based Data Governance Program
I spoke to a shopper not too way back who had this question: “I want help to develop a survey to ask our staff throughout the agency how they regard the numerous subjective metrics tied to information prime quality.”
The question obtained further curious. Apparently, the chief administration along with COO inside the enterprise was asking for definitions and progress on defining and measuring subjective measures of information prime quality. This was curious since in a lot of totally different circumstances enterprise executives are more likely to ask about have an effect on; lower down the group you get into concrete measures of information prime quality, and maybe even esoteric arguments about subjective measures.
I urged the patron I don’t cowl information prime quality intimately and that I do know who does; and I was undecided that we have printed any survey devices for such a course of. But I supplied a thought to the patron: Why problem with all that work?
I went on: What if the subjective measures all get scored or rated at 100%? What does the COO be taught from this? The shopper responded that this was actually an precise good question.
I adopted up: The information prime quality metrics being checked out appeared devoid of reference to one thing other than a should focus on information prime quality; and how one can get further use out of some not too way back invested know-how. I well-known: If these metrics have been all at 100%, what happens to their significance if the results of the enterprise fails? What then? What was the aim of the data prime quality work?
I outlined to the patron:
- Stop this bottom up data-focused work. Starting, being focused on, and ending with information in ideas is a dull end. You may die on the vine attempting to stipulate and justify so many information prime quality metrics. There is probably a change in administration or enterprise effectivity and your complete problem will get shut down anyway since no person would possibly work out the price add anyway.
- Start with an outcome-based information governance program that:
- Embed the work of governing information (this consists of the needed DQ insurance coverage insurance policies) in prioritized enterprise outcomes/challenges/options
- From this, you identify the least amount of information that drives an vital outcomes
- Work on the least amount of information prime quality for the least amount of information driving these outcomes
- Iterate (to be taught further about what information points most, and least)
The shopper agreed this was the “further mature” methodology they wished to take. “More mature?” I queried. This Is not about being most likely probably the most mature. This is about getting started with a profitable methodology. The totally different infrequently ever works, and unlikely circumstances must persist for unnatural lengths of time. You will not ever get to 100% information prime quality and nor would you like it. If the mission of the organisation and the associated outcomes do not drive information prime quality or information governance, the chance of failure is previous important.
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