Traditional Data Warehouses Can't Do It All

As part of my new professor gig, I teach business intelligence. It's an online course that demonstrates how students can turn raw data into intelligence, insights, analytics, and, ultimately, better business decisions.

When I think about contemporary business intelligence, data mining, data visualization, data warehousing, and analytics, I find it difficult to explain simply where one ends and the others begin. On the contrary, there seems to be a great deal of overlap among these terms and concepts. To be sure, things are muddier than ever here.

It's more clear that ever, though, traditional data warehouses will not store every type of information relevant to an enterprise. To paraphrase Kevin Hart, let me explain why.