Data Quality Matters: How Insurers are Benefiting from Optimal Processes and Accurate Analysis
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Insurers are acquiring lots of data, but not everyone is maximizing its use.
Seeking or using unnecessary information could become an impediment in attracting and acquiring customers.
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.
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.
