The progress of a business enterprise is often nonlinear. You strategize, plan, execute, evaluate and adapt - sometimes frustrated by the absence of consistent movement. Then, when you're least expecting, an opportunity appears from seemingly nowhere, almost by happenstance. OpenBI had such good fortune recently. It wasn't a new customer, nor a vendor partner or new employee. In early August, I serendipitously met a gentleman from the academic world who has helped broaden my base of business intelligence, promoting business intelligence (BI) in a wider context of social science and quantitative/statistical analysis - historically critical incubators of BI methods. Indeed, it is possible to envision a bit of BI's future by looking at what is prominent in quantitative social science today, with an eye toward new analytic tools for the evolving BI portfolio.
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