Melissa Data Quality Benefits

Data Architect at World Vision
We use Melissa Data Matchup for SSIS to de-duplicate our customer data on a daily basis so that we were able to reduce marketing costs and increase the quality of communication with customers. It replaced a weekly primitive custom de-duplication (record level) matching process. Its survivor-ship logic handles very complex column-level rules efficiently providing us with a first-time for a single version of truth for our customer data. It's inherent intelligence into name and address parsing provides a very accurate exact match with no false positives and no unexpected false negatives. We are continually impressed by its sophistication and ease of use. The tool does not requires a middle tier or specialized staff like every other tool on the market. View full review »
CS Operations Manager
We mainly communicate with our customers via email, so we primarily use it to find a phone number so we can contact them more efficiently. This allows us to talk to them and resolve their issues much more quickly. View full review »
Find out what your peers are saying about Melissa Data Quality vs. Talend Data Quality and other solutions. Updated: May 2020.
418,901 professionals have used our research since 2012.