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.
Information that appears complete may not serve its purpose unless its grounded in accuracy and relevancy.
There is no substitute for actually examining raw data, which often yields surprises in how information is organized and described.
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.
Insurers are acquiring lots of data, but not everyone is maximizing its use.
