Why Retail Data Keeps Failing You – And What To Do About It
Learn why retail data often fails and discover proactive strategies to improve data quality, reduce costs, and enhance customer experiences.
Insights and Analysis for the Data-Driven Enterprise
Learn why retail data often fails and discover proactive strategies to improve data quality, reduce costs, and enhance customer experiences.
Once-trusted fuzzy matching algorithms may be leaving your organization vulnerable to hefty GDPR fines. The balancing act of false-positives and...
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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