5 Days to a Data Maturity Model for Data Governance: Day 3

You’ve made it to day 3 of “5 Days to a Data Maturity Model“. Day one was all about defining your scope and identifying the lowest maturity level you have. Day 2 covered finding a natural maturity model already occurring in your data. This is a good technique because it helps you build a maturity model that makes sense for your organization and the data you have, instead of trying to fit your data into pre-defined levels that may not make sense in the context of your data governance program. The next step is to define the highest maturity level, and we have a clever way of doing this that will keep your model consistent and easy to use.

So, how many maturity model levels did you find yesterday? I mentioned that we’d talk about the best case scenario today. In essence, I want you to take what you did on Day 1 and write down the complete opposite. This should help you identify the highest maturity level. So if your lowest level is “Unmodeled, Unreviewed, No metadata” then the highest optimum level would be “In Datamodel, Reviewed and Governed by the Data Governance Council, Metadata verified and up to date”. What this does is keep your maturity model framed around the same items. If you talk about your data model in your lowest level, you should talk about it in every other level, including the highest.

That was an easy step, huh? The exercise of determining the lowest data maturity model level and the highest maturity model level is now complete. At this point you should start to see it coming together. You see the highest point, the lowest point, and you also have an idea of how your data maturity naturally occurs.

Tomorrow I’ll provide you with a template to organize this information in so that anyone can look at it and quickly understand it. It will also help us finalize the remaining pieces, the middle maturity levels, and put them into place.

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