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.
In this webinar, you will learn how to:
- Integrate geoprocessing solutions with P&C platforms;
- Use highly accurate geospatial data for risk modeling;
- Migrate geoprocesses to cloud-native environments
