Insights and Analysis for the Data-Driven Enterprise
In this case study, the Northern Ontario School of Medicine (NOSM) was able to cleanse and incorporate their data from about 30 distinct source...
By Joseph Vertido DQT Product Specialist Understanding Preferred and Vanity City Names If you were to take a stroll along the streets in front of the...
In this case study, The University of Iowa's College of Dentistry successfully cleaned their database of bad addresses and cut back on returned mail...
Bad data is a challenge for all organizations. Without data that is reliable, accurate and updated, organizations can't deliver trusted customer,...
The new IP Locator Object allows users to identify where Internet visitors are coming from to help increase click-through and sales. Available as...
Hello All! We introduced our new SSIS Toolkit of data quality transforms at the PASS Summit in Seattle this week to positive response. Total Data...
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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