data enrichment
GLOSSARY
26 Jan 2026

Data enrichment enables UK insurers and brokers to augment core policy and claims data with external information such as property attributes, credit indicators, geospatial risk scores, and behavioural insights, improving segmentation and risk selection. Underwriting, pricing, and fraud teams leverage enriched datasets to reduce reliance on customer‑supplied information, enhance straight‑through processing, and spot anomalies, but must pay close attention to data protection, supplier governance, and the demonstrable contribution of each enrichment source to performance and fairness.

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