Disparate, Dirty, Duplicated Data
Disparate, Dirty, Duplicated Data - Understanding the 3Ds of Bad Data In 1999, NASA learned how expensive bad data can be the hard way when they lost...
Insights and Analysis for the Data-Driven Enterprise
Disparate, Dirty, Duplicated Data - Understanding the 3Ds of Bad Data In 1999, NASA learned how expensive bad data can be the hard way when they lost...
Ecommerce is probably the only sector that has seen growth amid the COVID-19 pandemic. We’re shopping for everything from groceries to clothes and...
When it comes to making data usable, it is important to note that data profiling, data integration and data quality should ideally be practiced in...
In the film Face Off, John Travolta steals the identity of the antagonist by undergoing a face transplant. He could access everything that 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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