Could not agree with parts of this more - in particular, companies that think about bringing on data scientists to extract value from their "big data" would often be better off investigating whether they have the right architecture in place to do that well. It is a buzz word with a goto reaction; when it truth there is from what I have seen the scariest thing about big data is just unwieldy ETL processes grown from years of not thinking clearly about problems.