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.
There is no substitute for actually examining raw data, which often yields surprises in how information is organized and described.
Evaluations based on historical information should take into account not only when events took place, but when that information was available to those who could have utilized the information.
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.
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.
