What types of spatial and temporal environments drive specific types of claims.
How do you price insurance or market properly in new or emerging markets?
Zoba brings together thousands of variables that show how a city works as a system. These data are both spatial and temporal in nature and allow us to look at historical events in the context that they occurred.
The combination of our data and our algorithms with an insurance company's historical claims data allows for the prediction of the locations and frequency of claims anywhere in the world.
By marketing and pricing insurance policies based on predicted claims, insurance companies can improve their bottom line.