Data Cleaning – The What, Why and How
Deciding what to include and exclude in the new product range – deciding price points – estimating delivery timelines – all of this and more is based...
Insights and Analysis for the Data-Driven Enterprise
Deciding what to include and exclude in the new product range – deciding price points – estimating delivery timelines – all of this and more is based...
There’s no doubt about it – the better the quality of your data, the more useful it will be for decision making. Though many companies aspire to have...
The concept of money is changing. It’s not all just notes and coins, you’ve probably heard of cryptocurrency and bitcoins too. This isn’t play money....
Business and consumers rely heavily on emails, when it comes to communicating with each other. Since email messaging is an integral part of every...
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...
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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