What can we learn from messy insurance data?

This is a podcast episode titled, What can we learn from messy insurance data?. The summary for this episode is: <p>The insurance industry thrives on robust, diverse, accurate, and innovative data. In fact, it’s one of the most data rich verticals around, dealing in claims, ratings, coverage, pricing, geographic, and people data and so much more. But let’s be honest, working with the disparate data sources and applications is incredibly messy and inefficient!</p> <p>In this episode, Juan and Tim will be joined by insurance veteran, <a href="http://www.johnlucker.com/"><u>John Lucker</u></a> to find out what we can all learn from the data and analytics challenges in insurance.</p> <p>This episode will include an honest look at the ugly side of insurance data, opportunities to address insurance data challenges, and an important deep dive: State Farm vs. Progressive. Which has better commercials?<br> </p>