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 [...]
In his previous blog, Knowledge Integrity’s David Loshin discussed the “Data Governance Gap” and how to avoid it. He highlighted the importance of understanding and using best practices for managing data policies and operationalizing data governance processes to help close that gap. In this blog, he’ll discuss the life cycle of data policy management as a means of operationalizing data governance processes.
In my last blog, I compared the digital world of data to the physical environment we live in. I made a case for thinking about data governance in terms of data policies aimed at keeping bad data, analogous to trash in the physical environment, out of the data environment in the first place. As with [...]
