Entries Tagged 'maturity model' ↓

Hopefully yesterday you were able to review and fill in the sample maturity model template I provided you for. If you did, it should all be coming together for you. You likely have 5-7 Maturity Levels that are a tailor fit for your organization, and specifically your data. Remember, we crafted the model around what was already occurring within your data today. Thus, we didn’t really create a model; we actually just applied labels to your existing data tendencies. It is best to do it this way because your data will naturally follow the model going forward. Today we are going to look at the task of making sure your model works by reviewing it against your data. If you make it out of these simple tests, your maturity model is golden.
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We’re almost through building a maturity model that is just right for your organization. I hope yours is coming along nicely. Today I’m going to provide you with a template that you can use that nicely sums up your maturity model. Did I mention that your maturity model document need not be longer than one page? Its true. A well organized maturity model should be clear and concise; lots of documentation will just cloud its real value. This template will help you to be clear about how your data stacks up. Once you’ve reviewed the template, we’ll talk about how to put the levels you’ve already discovered on your own (the highest and lowest) into the template, and then work to fill in the middle using the natural maturity you’ve already found in your data. Continue on for the template…
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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. Continue reading →

Welcome to day 2 in my series “5 Days to a Data Maturity Model for Data Governance”. Yesterday we talked about identifying the scope of your Data Governance Program, and particularly what data you’ll be applying your maturity model to.

As your first task, I posed the question, “What is the lowest maturity level you currently have for your in-scope data?” (see Day 1’s post on the Data Maturity Model here) In this post we’ll talk about what to do with that, as well as review a term I call the ‘natural data maturity model progression’.
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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… Continue reading →