Demo: intelligent fuzzy matching to standardize company names

Demo: intelligent fuzzy matching to standardize company names

Standardizing company names at scale is one of the biggest data challenges facing insurers – but it's critical for legal entity resolution and the key to analysis of accumulations and clash. Here's how we help.

Quantemplate’s Automap Values feature uses intelligent fuzzy matching to map thousands of entity names to your reference list (such as Dun & Bradstreet or Capital IQ), then easily review, approve or edit results. It learns from your decisions, so the more you use it, the better it gets.

Automap Values is great for Program Business, Delegated Authority or Reinsurance, but it's not limited to company names. For example, if you’re writing Fleet Auto, use it to standardize vehicle makes and models. If you’re underwriting Commercial Property, use it for mapping addresses to occupancy and construction codes. Check out our Help Centre for some examples.

We’d love to show you more. To see Automap Values in action, or try it with your own data, contact us.

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