{"id":445,"date":"2024-05-21T15:22:36","date_gmt":"2024-05-21T15:22:36","guid":{"rendered":"http:\/\/cherishedmemoriesstudios.com\/?p=445"},"modified":"2024-05-28T14:28:56","modified_gmt":"2024-05-28T14:28:56","slug":"accurately-writingflood-coverage-hinges-on-diverse-data-sources","status":"publish","type":"post","link":"http:\/\/cherishedmemoriesstudios.com\/index.php\/2024\/05\/21\/accurately-writingflood-coverage-hinges-on-diverse-data-sources\/","title":{"rendered":"Accurately WritingFlood Coverage Hinges on Diverse Data Sources"},"content":{"rendered":"
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Flood risk is not only one of the most destructive perils facing property owners; it is among the most complicated forms of coverage for property\/casualty insurers to underwrite. For decades, the private market wouldn\u2019t cover flood risk, which is why the National Flood Insurance Program had to be established.<\/p>\n

But improved data collection and the availability of practically unlimited computing power have changed the equation for insurers, according to Anil Vasagiri, senior vice president for property solutions at Swiss Re. In a recent Executive Exchange with Triple-I CEO Sean Kevelighan, Vasagiri discussed the developments that have helped turn flood from a nearly untouchable peril to a burgeoning area of opportunity for insurers.<\/p>\n

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