Visualize & share CAT model results faster
Once you’ve modelled local intensity calculations, exposure data, damage estimation & insured loss calculations rapidly using our Python package (CARTOframes), sharing your analysis with decision makers with a simple URL. Run your analysis from data ingestion all the way through to publish programmatically, with no need to leave your notebook environment for daily updates.
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.
Faster access to alternative data
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.
“CARTO has allowed us to geo-enable our data, multiplying our reach. This extra reach allows us to work on things that affect people very directly, which is an essential part of our mission at SwissRe.”
Senior Data Scientist at SwissRe
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