The Importance of Data Verification
A customer database is one of the most valuable assets a business possesses. Unfortunately, customer databases and lists don’t have a long shelf-life. In fact, 30 percent of marketing and sales lists become outdated within 12 months.
The simplest way to describe data verification is the process of checking data for accuracy. There are basically two types of data verification. Full verification means that all data contained in a database is checked for accuracy. Sampling verification is used to check a small sample of data for verification. When data is verified, it is reviewed for everything from spelling errors to inaccurate numbers. It also checks for data loss after a data migration.