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Top Machine Learning and Data Science Methods Used at Work

The practice of data science requires the use algorithms and data science methods to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals used data visualization, logistic regression, cross-validation and decision trees more than other data science methods in 2017. Looking ahead to 2018, data professionals […]

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Which Data Science Tools are Used Together?

Analysis of usage of 48 data science tools by over 10,000 data professionals showed that data science tools could be grouped into a smaller set (specifically, 14 tool groupings). That is, some data science tools tend to be used together apart from other data science tools. Implications for vendors and data professionals are discussed. Data […]

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Brands In One Word - Equifax

We recently collected feedback about Equifax using our #BrandsInOneWord approach to measuring attitudes. This method requires each respondent to provide one word that best describes a particular brand. Next, applying our sentiment lexicon to the words, we calculate a Brand Sentiment Index. The #BrandsInOneWord results for Equifax appear below. Equifax is Equif*cked The Equifax brand has […]

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To be Successful at Data Science, Think Batman, Not Superman

I recently made a Batman analogy when discussing the topic of data science with some colleagues. In this post, I will explore this analogy further. Last week, a group of data professionals, including Jennifer Shin, Dion Hinchcliffe, Joe McKendrick, Joe Caserta and me, sat down with theCube's Dave Vellante and John Walls for a panel discussion on the topic of […]

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Customer Analytics Best Practices: Free White Paper

We surveyed 80+ customer-centric professionals in companies with formal customer-centric programs (e.g., customer experience, customer success) to determine the state of analytics in customer programs as well as identify what analytical leading companies (companies who use analytics to gain a competitive advantage) do differently in their customer programs compared to their analytical lagging counterparts. We […]

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