Case Study: University of Iowa, College of Dentistry
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...
Insights and Analysis for the Data-Driven Enterprise
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...
For my inaugural blog I would like to direct you to Jim Harris Obsessive-Compulsive Data Quality post on Data Profiling. He makes several important...
Real-time Web services have become an industry buzzword. The ability to purchase and access address verification and data quality solutions in...
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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