« In-Hadoop R-based Analytics coming to Cloudera | Main | R and Linear Algebra »

August 28, 2013

TrackBack

TrackBack URL for this entry:
http://www.typepad.com/services/trackback/6a010534b1db25970b019aff0a204c970b

Listed below are links to weblogs that reference Big Data Disruption in the Insurance Industry:

Comments

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

My experience as an analyst in the insurance industry is that there is a managerial/business motivation to have overly complicated models (gee-wiz, look at my fancy model that uses triple-interactions to segment the population into 1MM groups), and these models overfit. Unless the upper management really understand statistics, the larger companies are at risk of having poorer pricing models than less sophisticated competitors.

On the other hand, the industry is so highly regulated that the full use of big data is limited -- I would have been more interested in staying in that industry had I had the freedom to implement my findings.

Great wonderful Post!

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