Case Study: Swiss Re achieves data-driven risk mapping with CARTO

GIS capabilities are revolutionizing the insurance industry

Swiss Re needed a way to geo-enable its insurance data and build automated natural catastrophe damage assessment models based on remote sensing, but it faced challenges around speed, accuracy, cloud authorization, and turning complex geospatial analysis into something business teams could actually use. The company was looking for a practical platform to support global risk modeling, visualization, and underwriter workflows, and CARTO was part of the toolset used to help make that possible.

CARTO helped Swiss Re get a first geospatial platform running quickly, after which the team expanded its workflow with more vendors and open data to scale analysis. Using CARTO for professional visualization and delivery, Swiss Re was able to analyze large datasets, including a Brazil-wide, terapixel-scale project, and package results through APIs and email-based delivery so business users could act on them more easily. The result was a faster path from proof of concept to working solution, with CARTO enabling operational geospatial insights that supported insurance decision-making.

Swiss Re

Georgios Technitis

Senior Data Scientist