Insights and Analysis for the Data-Driven Enterprise
A hospital or clinic’s reputation is built on how it treats patients and their caregivers. In turn, patient treatment is dependent on the data...
Deciding what to include and exclude in the new product range – deciding price points – estimating delivery timelines – all of this and more is based...
Netflix uses data to understand customer preferences and create blockbuster series based on them. Coco-Cola leveraged data analytics to personalize...
Machine Learning (ML) is helping businesses across industries solve problems and deliver tangible benefits. The chatbots customers interact with, to...
Deciding what to include and exclude in the new product range – deciding price points – estimating delivery timelines – all of this and more is based...
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...
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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