Data Science: Methods Matter Part 2

Apr 25, 2016 | By: Jane Turnbull | Topic(s): Data & Analytics, Data Strategy, Explosion of New Data What makes Data Science a science?Methodology. When data analytics crosses the line with simple formulas, much conjecture, and an arbitrary methodology behind it, it often fails in what it was designed to do —give accurate answers to pressing questions. So at Majesco, we pursue a proven Data Science methodology in an attempt to lower the risk of misapplying data and to improve predictive results. In Methods Matter, Part 1, we set the stage for explaining the Majesco Data Science Project Lifecycle. The goal is to give insurance organizations a picture of the methodology that goes into Data Science. We discussed CRISP-DM and the opening phase of the life cycle, Project Design. In…

Link to Full Article: Data Science: Methods Matter Part 2

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