Overcoming the Dirty Data Problem
Click here to download now
Overview: Insurance is an industry of information and the manipulation of data. Contact data in particular is present in every database. This information critical to insurance operations as it affects risk assessment, policyholder communications and compliance.
But the difficulty of maintaining data is almost as prevalent as insurers having contact information in the first place. Because of the fluidity of information, insurers have a hard time keeping contact data clean and up to date.
Most insurance organizations work to keep data clean, but there are many that view inaccurate data as a standard part of doing business. While that is true to a certain extent, data can be maintained and cleaned to enable more efficient and cost effective business practices if organizations put certain processes in place.
Download this white paper to learn common data quality errors, where those errors originate and different cleaning strategies that allow insurers to overcome the ever-present dirty data.