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The Characteristics of Data-Driven Product Management and Development

Click to learn more about author Victor DeMarines. Gartner predicts that by 2021, some 75 percent of independent software vendors will embed software usage analytics in their products to inform product management decisions and measure customer health. When viewed through the lens of our product management recent survey “Listening to the Voice of the Customer,” that […]

Revisiting the Data Science Suitcase

Click to learn more about author Steve Miller. Two years ago, I wrote a blog entitled “What Size is Your Suitcase?” in which I recounted a holiday shopping “dilemma” my wife and I experienced  as we purchased mutual gift suitcases. The muddle revolved on which size bags to buy – large ones that could handle […]

Why Data Science is Not Statistics

Click to learn more about author Alex Paretski. Statistics as a branch of applied mathematics plays an important role in identifying hidden patterns in data. That’s why it is frequently used interchangeably with broader terms such as Data Science, Data Analytics, Business Analytics, and Machine Learning. Not only is this comparison technically incorrect, but it […]

Endowment Dollars for Data: An Ad Hoc Reporting Case Study

Click to learn more about author Mike Brody. The vast majority of knowledge workers utilizing Business Intelligence via their hub SaaS application, regardless of vertical, will likely never build their own reports from scratch. According to Eckerson Group’s “A Reference Architecture for Self-Service Analytics” (2016), 90% of knowledge workers in an organization use BI casually with […]

Data Science in 90 Seconds: Decision Trees

Click to learn more about video blogger Laura Kahn. This is Lesson 9 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]