How does an insurer benefit from such idiosyncratic, very specific data? Does it help with loss modelling at the aggregate or just on claims investigations?
Strongly disagree. There are many synergies going from car manufacturer to insurance that do not exist in reverse. For example, can use driver acceleration data to assess driver safety, vertical integration on repairs, etc.https://twitter.com/jennablan/status/1124769417567637509 …
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Neither, an insurer could choose not to insure someone who has frequent rapid deceleration or course correction, markers of an increased likelihood of an accident.
End of conversation
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If you can pick the lowest risk drivers and drop 90% of the people who are going to get in accidents, can cut the rates in half and still make a lot more profit. Problem is that insurance companies have regulated profitability in a lot of instances in the US, not sure about car
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