Insights and Analysis for the Data-Driven Enterprise
Melissa’s reveals 84% of enterprises struggle with bad data, highlighting rising risks and the need for real time verification to improve compliance.
Federal guidelines embrace importance of patient addresses for health IT developers powering analytics, patient matching, and overall care
Multi-part data quality strategy features ease of use, advanced technologies to enable real-time identity verification and 360-degree view of players
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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