Data Science: Methods Matter Part 3

May 19, 2016 | By: Jane Turnbull | Topic(s): Data & Analytics, Data Strategy, Explosion of New Data Data science has grown in inevitability as it has grown in value. Many organizations are finding that the time they spend in carefully extracting the “truth” from their data is time that pays in real dividends. Part of the credit goes to those data scientists who conceived of a data science methodology that would unify processes and standardize the science. Methods matter. In Part 1 and Part 2 of our series on data science methods, we set the stage for the Majesco Data Science Lifecycle and what it takes to prepare data for use in data science projects. Data science is not very different from other applied sciences in that it uses the…

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