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 that acquire data need to know how it was collected, that it was cleaned and verified and how it will fit into future developments.
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.
Insurers are acquiring lots of data, but not everyone is maximizing its use.
