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.
Insurers are acquiring lots of data, but not everyone is maximizing its use.
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.
Information that appears complete may not serve its purpose unless its grounded in accuracy and relevancy.
