Abstract

GIS and Risk Rating Provide Smart Analytics
Track: Insurance
Authors: Octavian Iercan

Being able to remove bias from geographical related risks is key ro Reinsurance. On one side we have the reference data such are administrative areas and risk modeling data and on the other side we have the software for handling, combining, analyzing the two. We use a combination of ESRI products with Oracle, Java, Angular JS to analyze risk on predictive models and real case scenarios. The audience will learn how portfolios are synthetized and visualized in a meaningful way for decision makers.