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.
There is no substitute for actually examining raw data, which often yields surprises in how information is organized and described.
Information that appears complete may not serve its purpose unless its grounded in accuracy and relevancy.
Seeking or using unnecessary information could become an impediment in attracting and acquiring customers.
