I jumped on this blog thinking I was going to disagree. It is called “Steps for adapting data governance to modern analytics” and it is by Doug Bordonaro, chief data evangelist at ThoughtSpot, a business intelligence and big data analytics firm. I have to say that I mostly agree with the intent of the blog. It aligns with what we said a long time back since we have been focused on right-sizing information governance for effective business outcomes.
I came up with this simple idea a long time ago, called generally Gartner’s Three Rings of Information Governance (see Pursue a Pace-Layered Information Strategy to Support Your Business Applications and this from 2013). I developed the model from watching how organizations struggled to determine what data is most important that is shared (or needs to be shared) and consistent between business process, applications and business units. Several analyst colleagues of mine have applied the same model to other kinds of data. Some folks have shown how the tool can help focused governance efforts of content. See Use Gartner’s Three Rings of Information Governance to Prioritize and Classify Records.
One more recent adaptation was the idea that the same tool can be used to help define which analytics definitions warrant global governance and which do not. This the essence of Doug’s blog – hence I have to comment him for the intent. What remains unproven in the market is how to rationalize what we learned some few years ago that is required for operational information governance, that of information stewardship, to the work that takes place in the data science lab or business analytics center of excellence. That remains unresolved and unclear. See A Day in the Life of an Information Steward.
The only bug I have with the blog is the use of the term, “data analytics” and the implication that this is the new name for “BI and analytics” or “Analytics and BI”. Just because we now take into account the infrastructure and the (big) data in the warehouse or lake, we did not extend “analytics” to “data analytics”. In fact I blogged on this lazy term recently: See It is all in the name – What does “Data and Analytics” Mean?.
So otherwise, his is a good blog
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