2024 SAG Award Winners

AmericanAg

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Project Goal

AmericanAg® is a global provider of reinsurance services. As such, our goal was to develop an enterprise GIS-based solution, utilizing appropriate safeguards, that would allow property and casualty insurance company clients the ability to quantify risks and identify potential drivers of loss in ways that traditional methods cannot, and limit access to said data within client groups. ArcGIS Enterprise provides us with a perfect solution for doing just that.
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Business Problem Solved

Understanding the spatial relationships of insurance policyholders is fundamental to the analysis of catastrophe loss potential. When a catastrophe occurs, it is important for insurers to be able to identify the areas that may be most adversely affected.
With the ArcGIS Enterprise solution, we can make our clients’ policyholder data more accessible and enhance it with geographic information. Catastrophe hazard information is made accessible within the ArcGIS Portal in near real-time. Intuitive spatial aggregation and relationship methods are made programmatic so a broad perspective of risk definition could be received. The use of ArcGIS Dashboards enabled our clients to more efficiently understand how natural perils threaten their insureds by visualizing the relationships between policies and major catastrophic events. ArcGIS Insights allowed post-event reports to be generated within seconds, thus allowing further questions to be quickly answered when new relationships are identifie

Technology Implemented

ArcGIS Enterprise solutions, including ArcGIS Portal, ArcGIS Online, ArcGIS Web AppBuilder, ArcGIS StoryMaps, ArcGIS Notebooks, ArcGIS Dashboards, ArcGIS Insights, ArcGIS API for Python, ArcPy, ArcGIS Maps SDK for JavaScript, ArcGIS Streetmap Premium, and ArcGIS Pro.

Development Team Biography

•Michael Knuth, Director, Catastrophe Modeling & Exposure Management
•George Haskett, GISP, GIS Software Engineer & ArcGIS Enterprise Administrator
•Phillip Jagielo, Catastrophe Analytics Manager
•Stefan Boes, Catastrophe Analytics & GIS Analyst
•Jacob Andrews, Software Engineer II