Join Us for Address Cleaning in SAP: Integration of REST Web Services | Global Intelligence Blog
Join us for a webinar on December 2, 2010.With the rapid change of data combined with a need for accurate information delivered in a timely and...
Insights and Analysis for the Data-Driven Enterprise
Join us for a webinar on December 2, 2010.With the rapid change of data combined with a need for accurate information delivered in a timely and...
In any customer-centric business, be it hospitality, banking, retail or insurance, there are numerous touchpoints where the consumer interacts with...
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...
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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