Moody’s selects TomTom location data for its risk management solutions
Moody’s now incorporates TomTom’s data into Moody’s Insurance Geocoder, using precise location information to improve the accuracy and relevance of geocoding analyses across multiple workflows. By combining TomTom’s highly accurate location data with Moody’s modeling capabilities and applications, Moody’s Insurance Geocoder empowers organizations across the insurance, financial, real estate, and adjacent domains reliant on accurate geospatial data with better insights to manage risk, reduce uncertainty, and improve decision-making.
For insurers responding to high-risk events like floods, storm surges, and wildfires, using accurate geocoding specifically designed for insurance purposes is vital, and TomTom’s rich and fresh location data allows Moody’s to create the most fit-for-purpose insurance geospatial reference. Among the many use cases, Moody’s Insurance Geocoder can provide a home insurance company with precise geocoding to assess the exposure of each property to natural catastrophes, enabling it to set appropriate premiums and manage its overall portfolio effectively.
“Accurate and up-to-date geocoding data is core to Moody’s suite of solutions for insurance clients,” said
“We’re proud to build on our long-standing collaboration with Moody’s, providing our fresh and reliable location data to help them empower customers with accurate, actionable insights,” said
About TomTom:
Billions of data points. Millions of sources. Thousands of communities.
We are the mapmaker bringing it all together to build the world’s smartest map. We provide location data and technology to drivers, carmakers, businesses and developers. Our application-ready maps, routing, real-time traffic, APIs and SDKs empower the dreamers and doers to move our world forward.
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For further information:
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A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/03bd9e77-0b82-49f8-8a52-785119195f6d
Source: TomTom International BV US




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