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common data quality issues

7 Common Data Quality Myths Debunked

Uncover truth about data quality: Avoid myths, optimize decisions. Learn why proactive approach matters. Gain competitive edge.

Melissa IN Team Aug 7, 2023

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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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