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Global Intelligence Blog

Insights and Analysis for the Data-Driven Enterprise

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
data quality

6 Challenges In Ensuring Data Quality

How does a business decide the pricing of a product? How do they decide how long a campaign should run in a city? What makes them choose to promote...

Melissa IN Team Apr 17, 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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