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 […]
Author Archive for: MikeWheeler
About Mike Wheeler
This author has yet to write their bio.Meanwhile lets just say that we are proud Mike Wheeler contributed a whooping 34 entries.
Entries by Mike Wheeler
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 […]
Recently, I wrote about getting caught in such data governance traps as pursuing quality for the sake of quality and imposing change on an organization without considering the cultural impact. In this post, I’ll explore the issue of corporate culture and what it takes to overcome barriers to change.
I sat down to write a piece on one of the more serious and pressing topics around data governance – the challenges of adoption and organizational resistance to change. When I did so, I got very serious and began to choose my words very carefully and solicited the feedback from several others to make sure […]