7 Steps to Enhance Product Data Quality
The TDWI Checklist Report on Product Data Quality points out the most pressing technology requirements for improving the quality of product data: 1....
Insights and Analysis for the Data-Driven Enterprise
The TDWI Checklist Report on Product Data Quality points out the most pressing technology requirements for improving the quality of product data: 1....
Melissa Data, a nonexclusive NCOALink Full Service Provider Licensee of the USPS, is now a licensed NCOA mail service provider for Canadian National...
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...
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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