Insights and Analysis for the Data-Driven Enterprise
Customer data comes from many different places—from forms on a webpage, during checkout, or other onboarding processes. This leaves a lot of room for...
By David Loshin There are all sorts of tools associated with address standardization, cleansing, and validation. As an example, the USPS has a...
Digital identity verification (also known as electronic identity verification, or eIDV) is a must for e-commerce retailers that want to safely and...
By David Loshin One nice thing about addresses, especially in the United States, is that they have well-defined standards. In previous blog series, I...
Comprehensive International Mailing Guide Available in Simple and Accessible Reference Format via Amazon Rancho Santa Margarita, CALIF – March 18,...
Data quality has changed a lot over the years. In the beginning of the digital age, access to the Internet was much more limited, and the way people...
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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