Insights and Analysis for the Data-Driven Enterprise
In any customer-centric business, be it hospitality, banking, retail or insurance, there are numerous touchpoints where the consumer interacts with...
By Donna HoganSpecial Correspondent for TechNews Arizona 'Tis the season to pack mailboxes with hefty holiday gift catalogs from Williams-Sonoma,...
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,...
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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