Data Quality Matters: How Insurers are Benefiting from Optimal Processes and Accurate Analysis
Seeking or using unnecessary information could become an impediment in attracting and acquiring customers.
Information that appears complete may not serve its purpose unless its grounded in accuracy and relevancy.
Insurers that acquire data need to know how it was collected, that it was cleaned and verified and how it will fit into future developments.
There is no substitute for actually examining raw data, which often yields surprises in how information is organized and described.
Insurers have a host of internal and external resources to assess confidence in their data.
