Category: Data Management

The Case for an Enterprise Architect in your Data Governance Program

When I think about information architecture, I cannot help but compare it to the various forms of architecture in the physical world. Structures range from simple tents and tarps to soaring sky scrapers. In fact the original version of this entry started as I thought back on the scrap-wood tree houses we built as kids [...]

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.

Confusing What’s Urgent with What’s Important

Recently an acquaintance summed up data governance as “trying to do what is important, while be sidetracked by what is urgent.” To me this was an interesting observation, because it sums up a paradox associated with data governance. Resolving urgent data quality issues uses so many resources, there are often none left to implement the [...]

Key Date-Time Stamps and Why They Matter

Have you ever considered how important the mundane time-stamp is to your BI operations? Think about it, every report includes the element of time in it. The report is a snapshot in time, or covers a range of time. Accurate and timely business intelligence requires good records of the history within your business processes. The [...]

Governance and Innovation – Complimentary or Contradictory

On LinkedIn, the following question was posted by Asad Quraishi in the IT Governance Group discussions. Does IT governance promote innovation? There’s enough compelling research demonstrating the value of governance to the bottom line. This ranges from studies showing that firms using IT governance best practices are 20% more profitable than their peers to showing [...]

Where to Govern Data – Control Points in Information Flows

My last entry suggested that data governance is not a new problem. While exploring data governance, we are revisiting the issues encountered as society built out roads, and developed modern manufacturing processes. The only difference is what we are governing this time is data content instead of a physical thing. With that in mind, it [...]

5 Simple Criteria to Determine What to Govern

With increasing frequency, people are asking, “what is a simple solution to data governance?” They, and likely you, are looking a silver bullet to bring order out of chaos. The ironic part of the problem is that it is not a new problem; rather it is an old recurring problem with a new name. What [...]

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