Data Quality Matters: How Insurers are Benefiting from Optimal Processes and Accurate Analysis
Insurers have a host of internal and external resources to assess confidence in their data.
Data's value depends on its accuracy, its timeliness and whether it's complete.
Acquired data may come from original collection efforts, or it could simply be a third-party purchase. Being able to answer questions about the data is crucial.
There is no substitute for actually examining raw data, which often yields surprises in how information is organized and described.
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.
