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Data Quality Tips from Our Experts

By Joseph Vertido DQT Product Specialist Understanding Preferred and Vanity City Names If you were to take a stroll along the streets in front of the...

Melissa Team Dec 8, 2009

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    All data goes bad (up to 25% per year), whether due to data entry errors or the simple fact that consumers change jobs, move, update email addresses, marry, etc. At Melissa, we help companies harness the value of their Big Data, legacy data, and people data (names, addresses, phone numbers, and emails) to drive insight, maintain data quality, and support global intelligence.

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