2. Beware Dirty Data
There is this notion with big data that you can use dirty data, it doesn't have to be perfect. I just caution a little bit on that. The data still has to represent the underlying truth. I have a concept I call 'good enough' data — you don't have to cleanse everything until it's perfect, but it has to be good enough so that you can gain some insights from it.
— Mark Breading, Partner, SMA
Nathan Golia is senior editor of Insurance & Technology. He joined the publication in 2010 as associate editor and covers all aspects of the nexus between insurance and information technology, including mobility, distribution, core systems, customer interaction, and risk ... View Full Bio