Melissa's

Global Intelligence Blog

Insights and Analysis for the Data-Driven Enterprise

clean data

Validating Global Phone Numbers 101

By Allison Moon Data Quality Analyst With the advent of global communications and business, chances are you are not only capturing addresses of your...

clean data

Discover Data Quality Issues Before they Arise

By Taky Djarou, Data Quality Analyst Melissa has released its new data Profiler API. The Profiler Object offers a unique approach to profiling your...

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Matchcode Caveats - How to Solve Them

By Tim Sidor, Data Quality Analyst "The more advanced I make my matchcode, the more duplicates I'll identify." This is an assumption - true or false...

Direct Mail

Carpe DM

By Alan Rosenspan, President, Alan Rosenspan & Associates Remember how much direct mail you used to receive? How much time it took you to sort...

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    About This Site

    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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