Dishing on Data – Advice from Data Scientists on How to Leverage Traditional and Non-Traditional Data Sources
Insurers are utilizing police reports for machine learning and better claims triaging. The biggest challenge is bringing them into conformance.
Combing claims data with weather information can help insurers more quickly forecast loss and evaluate risk.
Insurers are wrapping their analysis in layers of data, including bankruptcy information, judgments and more.
Properly organized data is understandable and archivable.
Assessing test information over time can show which results are outliers and which define trends.