Data Products (Insurance New Data Report ONLY)

VendorMatch

Data Products include any product or offering consisting primarily of a specific type of data, data sets, or data assets that are provided to financial institutions to be used in any process (e.g., marketing, distribution, pricing, underwriting, policy service, claims, etc.).
  • Property Attributes Parcels covers more than 149 million US properties, providing specific details on up to 205 property attributes, including: …
  • GeoEnrichment Property Attributes provides more than 200 property attribute fields on over 149 million US properties. A unique persistent identif…
  • The GeoEnrichment Risk Data suite provides reliable and accurate information about risks associated with a specific location, such as wildfire, f…
  • GeoEnrichment Demographic Data delivers vital socioeconomic information within a geographic context to provide a deeper understanding of current…
  • Address Fabric Data is a comprehensive list of country addresses and their corresponding locations. This data is delivered as a file that can be…
  • Accurate street data for routing and geocoding to better visualize routes, pinpoint addresses and calculate drive times. Access the Pitney Bowes…
  • The Pitney Bowes Points of Interest (POI) data portfolio delivers a comprehensive view of businesses, landmarks and features around the world. Ac…
  • An extensive catalog of global demographic data. Access the Pitney Bowes Software & Data Marketplace to download data samples, visualize data on…
  • Pitney Bowes boundary data is essential in industries where search, discovery and business analytics are critical to success. Access the Pitney…
  • CCC Connected Offers
  • Over the past 14 years InsFocus developed an independent BI platform based on a non-life insurance data model, which is by now installed in 12 in…
  • Optimize the assignment and prioritization of risks for evaluation. Ensure quoted business is within your risk appetite by leveraging a model tra…
  • Improve the customer experience by using data science to answer and prepopulate underwriting questions.
  • Liberate underwriters from time-consuming paperwork. Automate intake including PDFs, scans and other forms of unstructured data. Analyze inputs i…
  • Make data-driven underwriting decisions. Increase underwriting productivity by informing your process using a broad array of external data source…
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