Swiss Re

Swiss Re operated with a fragmented data estate that created operational silos between underwriters, actuaries, and data teams. This fragmentation slowed risk assessment, introduced manual errors in reporting, and limited collaboration across the organization.

Swiss Re consolidated its data ecosystem using Palantir, unifying its data estate to eliminate silos. Palantir's machine learning capabilities automated data analysis and pattern recognition in historical claims, while automated data pipelines streamlined reporting and reduced manual intervention.

Swiss Re achieved a 170% ROI with a payback period of just 7.3 months. Reporting time dropped by 70-80%, underwriters saved 30% of their time, and data engineers and architects gained a 50% productivity improvement. The platform improved accuracy in underwriting decisions and positioned Swiss Re to adapt more quickly to market shifts.

• Consolidating a fragmented data estate into a unified platform can unlock significant cross-team productivity gains across underwriting, actuarial, and data engineering functions.
• Automating data pipelines and reporting reduces manual errors and directly improves the accuracy of high-stakes decisions like risk underwriting.
• Enterprise-scale data platform investments can deliver payback in under a year when they eliminate deep operational silos.