Catastrophe Modeling with Spatial Data Science

Catastrophe Modeling

Use spatial data in your catastrophe modeling to estimate the economic impact of extreme events to make our communities more resilient.

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Once you’ve modelled local intensity calculations, exposure data, damage estimation & insured loss calculations rapidly using our cloud native Analytics Toolbox, sharing your analysis with decision makers with a simple URL. Run your analysis from data ingestion all the way through to publish programmatically, with visual using no code automation tools.

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Less time cleaning, more time analyzing

Too many Data Scientists in Insurance & Reinsurance are wasting 80% of their time on data discovery, evaluation & ETLs - rather than actual analysis. Using our spatial data repository, you can enrich your catastrophe models & simulations to provide more accurate possible loss outcomes with more spatial context.

Access new spatial datasets such as human mobility, housing & climate data through our Data Observatory to enhance your analysis. Move away from static data dumps to always-on data streams that allow your models to evolve with environmental changes & improve the results of your CAT models.

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Request a Demo

Schedule a 20 minute meeting with our experts to understand how you can use spatial analysis in your organization.