Insights and Analysis for the Data-Driven Enterprise
Melissa renews its patent for proximity matching technology featured in its global data quality tools and services. Integrated into MatchUp®,...
by Tim Sidor, Data Quality Analyst In the past we've discussed implementing different matching strategies based on how you would like your records...
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...
Today is Data Privacy Day! A good day to remind our readers about GDPR data privacy regulations and those pesky goalposts. If you haven’t been...
By Tim Sidor, Data Quality Analyst "The more advanced I make my matchcode, the more duplicates I'll identify." This is an assumption - true or false...
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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