First American Proxix Solutions, a provider of geospatial technology, data, and software, announced the addition of risk concentration as an option in its CATUM automated insurance suite.

One of the challenges facing property/casualty companies is the ability to identify accurately a concentration of policy risk within a geographic area. Traditionally, property/casualty companies have attempted to measure risk concentration by counting the number of policies in a defined geographic region, such as counties, cities, or ZIP codes. However, this method does not identify whether policies are clustered or dispersed within a given geographic region.

To address this, First American Proxix developed a set of grid layers in varying square-mile areas for all 50 states, which have been integrated within CATUM as layer options. CATUM processes street addresses using its proprietary geocoding and spatial analysis technology and appends a cell identification to each record according to the selected grid matrix. Insurers then can import files into their reporting application and generate reports detailing the number of policies and the total exposure in a specific area. Appended files can be shipped in shapefile format for map display.

Want to continue reading?
Become a Free PropertyCasualty360 Digital Reader

Your access to unlimited PropertyCasualty360 content isn’t changing.
Once you are an ALM digital member, you’ll receive:

  • Breaking insurance news and analysis, on-site and via our newsletters and custom alerts
  • Weekly Insurance Speak podcast featuring exclusive interviews with industry leaders
  • Educational webcasts, white papers, and ebooks from industry thought leaders
  • Critical converage of the employee benefits and financial advisory markets on our other ALM sites, BenefitsPRO and ThinkAdvisor
NOT FOR REPRINT

© 2025 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.