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data quality

Disparate, Dirty, Duplicated Data

Disparate, Dirty, Duplicated Data - Understanding the 3Ds of Bad Data In 1999, NASA learned how expensive bad data can be the hard way when they lost...

Melissa AU Team Oct 23, 2020

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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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