Depending on whether you are a half-full or a half-empty kind of person, the "big data" revolution is either a tremendous windfall for the career of a statistician, or the makings of a real existential crisis. As with most things, it’s probably a bit of both. On the one hand,
In my previous post Sisyphus didn’t need a fitness tracker, I recommended that you only collect, measure and analyze big data if it helps you make a better decision or change your actions. Unfortunately, it’s difficult to know ahead of time which data will meet that criteria. We often, therefore, collect, measure and analyze
Business Intelligence (BI) can mean many things to many people, but generally BI is associated with business reports. When you fold business analytics (BA), especially advanced analytics that are predictive or prescriptive, under the BI umbrella you inherently dilute the value proposition that analytics can provide to an organization. Why
