Insights and Analysis for the Data-Driven Enterprise
By David Loshin There are all sorts of tools associated with address standardization, cleansing, and validation. As an example, the USPS has a...
New Resource Touts the Importance of Full Spectrum Protection to Combat Data Pitfalls Rancho Santa Margarita, CALIF – March 6, 2019 – Melissa, a...
In this case study, the Northern Ontario School of Medicine (NOSM) was able to cleanse and incorporate their data from about 30 distinct source...
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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