Why Do We Need Another Data Governance Maturity Model?

About a month ago, we announced the Kalido Data Governance Maturity Model. Right after that, we got an email from a concerned analyst. He asked, “Why do we need another data governance maturity model? And are you getting into the consulting business and competing with us?”

No, we’re absolutely not getting into the consulting business. We’re a data governance software company. In fact, we’re giving our maturity model to our consulting partners. But back to the right question, why another maturity model? The last time I counted, there’re at least eight data governance maturity models floating around. From very smart people at major software companies and analyst firms. Surely one of those must be good enough!

To be honest, we thought so too. When we set out to build a product for data governance two years ago, we looked at every one of those models. They are very good. We didn’t think we needed our own model.

But over time, with input from dozens of companies on where they are in data governance and where they’d like to be, our vision for data governance technology clearly formed: data governance is about policies for data. Specifically, it’s the business process for defining, implementing and enforcing data policies.

The people we talked to, customers and analysts, really appreciated our clarity. We’ve been told many times that we talk about data governance in the clearest, the most focused terms they’re ever heard. And this is important because this area often seems fuzzy and vague. Or people make data governance too big — the data management kitchen sink — such that it’s not tangible any more. Like EIM, an elusive dream far in the future. So we came to believe that there is a lot of value in putting together a maturity model that embodies this clarity of vision.

We’re not the only people with this point of view. Marty Moseley of IBM, analysts at Gartner and Forrester, and leading voices in the industry like Jim Harris and David Loshin have all expressed similar perspectives on data policy. Gartner encouraged us to publish it, because they thought “it would generate some healthy debates.”

Another way to look at it is, we took some general terms in the existing maturity models: Governed, Optimized, Managed, Defined, Advanced, Transformational, and we made them specific in terms of what an organization does with respect to data policies. So in our model, “Advanced” means you’ve got the people, process and technology in place to do a really good job at managing data policies.

After we completed the model, we turned it into a simple 18-question survey so that you can find where your organization stands in maturity. Take the survey, and you’ll get a detailed report outlining where you stand, how to get to the next step and where you compare against others who have taken the survey.  Many companies told us that the survey has been highly valuable. One company sent the report to executives to get commitment to expand the data governance program; another company uses the survey to evaluate data governance maturity at a regional and line-of-business level. One consulting partner is adopting the survey as a diagnostic tool.

Give it a try. It’s free!

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