Episode 34: What can we learn from messy insurance data?
About this episode
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!
In this episode, Juan and Tim will be joined by insurance veteran, John Lucker to find out what we can all learn from the data and analytics challenges in insurance.
This episode features
- An honest look at the ugly side of insurance data
- Opportunities to address insurance data challenges
- An important deep dive: State Farm vs. Progressive. Which has better commercials?
Special Guests:
John Lucker
Insurance Executive
Mentioned in this episode
“Two-thirds of people that evaluated their own data found that their data was somewhere between 0 and 50 percent accurate.”
See the catalog for data discovery, governance, access, and analysis.
