Standardize company names to identify aggregations and build unique insights

Insurers can have thousands of company name variations in their input data. Yet standardized company names are essential to building a complete picture of insureds and avoiding over-exposure to loss events.


Match incoming names to a comprehensive list such as Capital IQ
Get a single harmonised view of insureds to identify aggregations
Augment with financial intelligence data to build unique insights
Build a set of approved mappings, Quantemplate learns as you go

Challenges

  • Disparate company names across multiple source datasets mean aggregations can remain hidden
  • Company name reference lists run to tens of millions of records, but matching to them needs to be automated and efficient
  • Human review and editing of automated matching results is critical for data quality

How Quantemplate helps

Quantemplate’s name matching solution combines word-frequency analysis with automated fuzzy matching, all whilst keeping you in the loop. For a technical deep-dive, check out our webinar.

  • Get a single harmonized view of your insureds
  • Identify parent companies and subsidiaries
  • Manage your aggregated exposures and potential clash
  • Augment with financial intelligence data to build proprietary insights
Aggregation and Clash

How does Quantemplate work?

Quantemplate is a self-service, cloud-based, automated data solution built for re/insurance professionals

Learn more
Case Study

See how Quantemplate could benefit your company

Contact us

More use cases