Category: Organizational Behavior

Data Governance Responsibility and Accountablity: The RACI Waterfall

In the course of a great conversation on Data Governance with Max Gano of Stakeholder Care, we began discussing the application of controls. Max had some great thinking on how they fit into the realm of Data Governance. The conversation reminded me of a RACI Waterfall that I had created a few years back. The [...]

Data Ownership vs. Data Stewardship

Over the last several years, there has been quite a bit of discussion regarding the distinction between data ownership and data stewardship. Stewardship commonly involves the daily and routine care-taking of all aspects of data systems. The roles are highly distributed. Ownership on the other hand is more concentrated. If you want to find the [...]

The Gap Between Perception and Reality

In order for any IT pro to really enjoy watching NCIS, they have to suspend reality particularly when McGee goes into action. Not action in the field, rather when he instantly gets into databases and merges the results to discover the trail of the villain. It really is BI nirvana.

How to Govern Data – A Simple Method to Implement Governance

Some time ago, while working with a large data warehouse, I formulated a simple method to govern data. The method was introduced as part of our Basel II work and was required by our Basel II Risk Management Policy. Subsequently as we were validating our plans for a data governance program, it was reviewed and [...]

Data Governance and The Laws of Physics

As much as developers would like to believe that they have total creative license, they really are bound to some degree by the underpinnings of their development software. No matter the language, platform, or technology, somewhere along the line there are limiters on what a developer can do that govern their efforts. Solution developers will [...]

A Simple Choice

Right now many enterprise data producers behave like monopolies. They set the standards for what they produce and the downstream applications have no choice but to take what they get. This is a fundamental problem with most enterprise data architectures. This behavior encourages chaotic environments and cost business billions of dollars in wasted effort.

Data Governance and Industrial / Organizational Psychology

Much has been written about the technical side of data governance, but we continue to give minimal treatment to the human side of the equation. I think that is in part due to the fact that as IT professionals, we tend to look for technical solutions to problems. But what do you do when the [...]

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