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.
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.
Data's value depends on its accuracy, its timeliness and whether it's complete.
