Dan Woods at Forbes makes a salient point about Big Data: it's not good enough merely to spend a ton of money to collect and store data — it needs to earn its keep via data analysis:
Let’s say you buy a huge Hadoop cluster along with Revolution Analytics, a productization of the R language that has been adapted to make it work with Hadoop and more easy to use in other ways. Cloudera and Revolution Analytics stand ready to sell you their products.
But who do you turn to to increase your analytic capacity?
Dan suggests — and I agree — that there also needs to be investment in what he calls “Agile Big Data technologies” to take advantage of the intelligence locked up in the data. Read more in Dan's article linked below.