Insights and Analysis for the Data-Driven Enterprise
Once-trusted fuzzy matching algorithms may be leaving your organization vulnerable to hefty GDPR fines. The balancing act of false-positives and...
Does this sound familiar? You just removed the duplicate data from your database. You’re ready to add real-time or scheduled inserts but you don’t...
By Taky Djarou, Data Quality Analyst Melissa has released its new data Profiler API. The Profiler Object offers a unique approach to profiling your...
Matchbook is a SaaS solution that provides accurate and complete control over your data stewardship processes. With a fully functional user...
Dirty data, in all forms, is bad for business. Here at Melissa, our primary concern is cleansing it from all of your platforms, including Microsoft...
MatchUp®, Melissa's solution to identify and eliminate duplicate records, is now available as a web service for batch processes, fulfilling one of...
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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