I just came upon an article by Neil Raden entitled BI is Dead! Long Live BI! In it Neil emphasizes the importance of business modeling to create a BI environment that the business will actually use. If you’ve read my article Lost in Translation, you’ll understand how I am in complete agreement with him on this.
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
Browsing though articles on Agile Data Warehousing, I just came across an article by Gavin Michael Growing the New Data Culture. The premise is that for organizations to become more data centric in their decision making process, they must not just manage data better, but must change corporate culture in order to have decision makers […]
I recently read a great blog by Aaron Zornes, “Go Governance, Go Early”, in which Aaron called out the need for the discipline of a Master Data Governance to coincide with the deployment of an MDM solution. I couldn’t agree more!
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 […]
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 […]
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 […]
So you have a data governance program. Congratulations! Now you’re probably thinking about how you can measure the state of data governance in your enterprise moving forward. Perhaps you’ve compile a list of questions: How many layers of escalation are built into the framework? How many permanent council members versus virtual team members are engaged […]
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.
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, […]