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Insights and Analysis for the Data-Driven Enterprise

Data Matching

[WEBINAR] Integrating Matching in SQL Server

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...

Melissa Team Sep 10, 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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