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.
Insurers have a host of internal and external resources to assess confidence in their data.
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.
There is no substitute for actually examining raw data, which often yields surprises in how information is organized and described.
