To my “Bias in BI” article a few weeks back, several commentors responded, questioning the relevance of  the discussion for business intelligence. Though it was clear to me, I realized I hadn't done an adequate job prepping readers for my thoughts on the “science of business” that were behind the writing. I hope in the next two blogs to explain better just what that thinking is.

I wish I could take credit for introducing the science of business concept, but I cannot. However, I did steal the idea fair and square from MIT Sloan Management School researcher Andrew McAfee. Alas, my meager contribution amounts to little more than consolidating some of the thinking of business thought leaders such as McAfee and his MIT colleagues Michael Bikard and Charles Eesely with the evidence-based management doctrines of Stanford professors Jeff Pfeffer and Bob Sutton, the balanced scorecard strategic focus of Robert Kaplan and David Norton, and the analytics/experimentation directions of “Super Crunchers” author Ian Ayers along with “Analytics at Work” authors Tom Davenport and Jeanne Harris.

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