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data quality

The Value of Data Quality in Machine Learning

Artificial Intelligence and Machine Learning are gradually making their way from research applications to solving real-world problems. The...

Melissa IN Team Apr 12, 2022

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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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