Entries by Mike Wheeler

Lost in Translation

Recently, I wrote about treating a data process as the business process that it truly is.  The premise was that we must look at data management processes in a more structured way.  By spotting repeatable patterns and looking for opportunities to automate some of the mechanical aspects of the process, we can create opportunities to […]

A Data Process is a Business Process

Businesses have long sought to optimize core business processes to ensure maximum business performance.  IT departments have supported the cause by building systems to automate many of the mechanical aspects of these processes ensuring repeatable, efficient execution of operations.  These same IT departments, however, have continued to use traditional labor-intensive methods of building many of […]

The Fall Governance Classic

As I sit and watch the unbelievable talent during the World Series (even though my beloved Tampa Bay Rays didn’t make it to the fall classic), I can’t help but think of what it means to compete at that level.  Watching the flaming MPH indicator every time one of these pitchers throws above 95MPH (and […]

Impact of Data Governance on Business Performance

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 […]

Data Quality Measurement: Looking Beyond the Obvious

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, […]