Data Quality Matters: How Insurers are Benefiting from Optimal Processes and Accurate Analysis
Information that appears complete may not serve its purpose unless its grounded in accuracy and relevancy.
Evaluations based on historical information should take into account not only when events took place, but when that information was available to those who could have utilized the information.
Insurers have a host of internal and external resources to assess confidence in their data.
Seeking or using unnecessary information could become an impediment in attracting and acquiring customers.
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.
