Data Quality Matters: How Insurers are Benefiting from Optimal Processes and Accurate Analysis
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.
Data's value depends on its accuracy, its timeliness and whether it's complete.
Insurers have a host of internal and external resources to assess confidence in their data.
Information that appears complete may not serve its purpose unless its grounded in accuracy and relevancy.
