How to Use Highly-Accurate Geospatial Data for Risk Modeling


Over-pricing policies could trigger the loss of high-quality, lower risk customers, while underpricing may cause high-risk and low margin customers to be retained. More accurately and efficiently identifying policyholders is critical to maintaining a healthy and balanced book of business.

However, your P&C platforms may lack advanced geoprocessing capabilities essential for accurately assessing risk – and integration with many platforms poses challenges. The objective is to operationalize risk modeling by augmenting insurance platforms with geoprocessing for either pre-scoring or dynamically scoring potential policyholders.

Watch now to learn more about how to:
• Integrate geoprocessing solutions with P&C platforms;
• Use highly accurate geospatial data for risk modeling;
• Migrate geoprocesses to cloud-native environments