Dishing on Data – Advice from Data Scientists on How to Leverage Traditional and Non-Traditional Data Sources
Insurers need to scrub data for bias, determine accuracy and look for missing elements.
Insurers are utilizing police reports for machine learning and better claims triaging. The biggest challenge is bringing them into conformance.
Police reports could hold the key to better machine learning and determining claims complexity.
In life insurance, measuring prospective customers by one dimension alone can lead to highly inaccurate results.
Looking at a full range of information about damaged property can help insurers more quickly move to loss determinations.