5 Days to a Data Maturity Model for Data Governance: Day 1

Over the next 5 days I’m going to give you step-by-step, practical advice for building a Data Maturity Model. A Data Maturity Model is a rating system applied to a group of data (by element), such as enterprise, marketing, or in-scope data. There is no one-size fits-all rating system nor an industry standard because the real value comes in tailoring your maturity to the exact needs of your organization.

So, over the next five days I’m going give you steps that you can follow to build a maturity model that works for your organization and is very powerful in tracking the progress of your Data Governance Program. You’ll remember from my post on data governance metrics that it is extremely important to know where you’ve been, where you are, and where you are going.

Now, onto the steps for a maturity model…

The first thing to do is identify what data you are going to apply your maturity model to. Have you defined the scope of your data governance program? If so, what data is that? If you haven’t yet defined the scope of your program, you really need to do that first.

Now that you have identified your in-scope data elements you can begin working on your maturity Model.

Answer this question – what is the lowest maturity level of data in your dataset? Your answer could be something along the lines of, “Unreviewed, unmodeled, no metadata, have no idea what it is”, “It is in our corporate data model but no information other than field name, not in metadata”, or “Its in our model, we have some old definition that we can no longer consider reliable”.

This may take some time to do, but it is important to establish this baseline. The main things to capture are:

1. Is it in your datamodel?
2. Do you have metadata for it?
3. Do you trust the information in the metadata, if it is in there?

Come back tomorrow for the next Data Governance Maturity Model article. We’ll talk about how to use that baseline that you’ve esablished as well as how to identify and use the ‘natural data maturity model progression’ that you probably already have.