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Success story
Financial Services|Geomarketing|Geodata|United Kingdom|English

Building better wind storm models with geodata

Bruchsal, 20.09.2016

A risk modeling company needed reliable boundary and market data to create and validate its windstorm model for Europe. Constructing geographically precise risk models is essential to predicting financial risk for the insurance and reinsurance companies that use our client’s services.

Situation

A risk modeling company needed reliable boundary and market data to create and validate its windstorm model for Europe. Constructing geographically precise risk models is essential to predicting financial risk for the insurance and reinsurance companies that use our client’s services.

Approach

The company incorporated our postcode boundaries for Europe as well as our demographic and purchasing power data into its windstorm model. This data combines several key metrics with consistent vintage, resolution and geospatial reference data.
Our postcode boundaries offer a reliable geographic basis for locating, linking and analyzing the data related to the model. Meanwhile, our market data delivers insights about demographics and relative wealth in the regions covered by the model.

Outcome

The geodata enabled our client to build a European windstorm model with detailed insights on windstorm-related risks for its customers. Insurers use this model for scenario planning and probabilistic analyses. Our data was a key resource for our client’s industry exposure database, which offers a detailed description of natural catastrophe risk for every postcode in Europe.

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