What is Fuzzy Matching?

Blog Administrator | Uncategorized | data quality, merge purge, non-exact matches

According to a study by The Information Difference, one third of its respondents rate their data quality as poor, and only 4 percent as excellent. What’s jaw-dropping – 63 percent have no idea what poor data quality may be costing them.

 

One major root cause of poor data quality is duplicate records. Duplicate records – at any level or amount – create conflicting information which prevents organizations from gaining a single, accurate view of a customer.… Read More