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.
- 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