In this, the conclusion of my blog series on “Measuring data governance programs,” I’ll be exploring the need to measure data governance process performance and techniques you can use to ensure that those processes are operating optimally. The last few posts expressed the need to measure data governance programs from various perspectives to ensure that [...]
I’ll be continuing the discussion started in my post Measuring data governance programs in which I highlighted four distinct categories of measurement that apply to data governance programs: level of policy compliance, level of data quality, impact on business performance, and performance of data governance processes. Driving the greatest return on the investment in data [...]
In my blog post “Measuring data governance programs,” I discussed four distinct categories of measurement that apply to data governance programs: level of policy compliance (addressed in “Data Policy Compliance: Beyond Crime and Punishment”), level of data quality, impact on business performance, and performance of data governance processes. By measuring your program across multiple dimensions, [...]
In my last blog post, I discussed four distinct categories of measurement that apply to data governance programs: level of policy compliance, level of data quality, impact on business performance, performance of data governance processes. The premise of that posting was that these four dimensions of measurement each told us something different about data governance [...]
Assessing the impact of any program or initiative requires measurement of outcomes to determine progress toward objectives. While this may be a blinding glimpse of the obvious, we have to ask ourselves “what is the desired outcome that we want to achieve” before we can decide what to measure and how to measure it. This [...]
