« Revolution Analytics Spring Webinar Series | Main | Simple tools for building a recommendation engine »

April 18, 2012


TrackBack URL for this entry:

Listed below are links to weblogs that reference When do you need all the data for Big Analytics?:


Feed You can follow this conversation by subscribing to the comment feed for this post.

In a nutshell: find the Black Swans. But, how important, commercially, are such outliers? The question is seldom addressed directly. Unless there is some business (or, possibly, social mandate) where the outliers can be serviced at unusually high profit, it's just a waste of time and money. I'd love to witness a confrontation between a Big Data Advocate and Philipp Janert (or someone of his ilk).

We do see this black swan hunt in the pharma business; companies spend ever more money seeking approval of drugs which treat small groups of patients. FDA allows the companies to charge any price for such Orphan Drugs for long periods of time. Whether this is good public policy is not addressed.

The comments to this entry are closed.

R for the Enterprise

Got comments or suggestions for the blog editor?
Email David Smith.
Follow revodavid on Twitter Follow David on Twitter: @revodavid

Search Revolutions Blog