Titlebook: Introducing HR Analytics with Machine Learning; Empowering Practitio Christopher M. Rosett,Austin Hagerty Book 2021 Springer Nature Switzer

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Introductionion is increasingly steeped in the fields of mathematics and computer science. Second, employee data is different than other kinds of data and so the growth of HR Analytics is more complex than a lift-and-shift approach from other industries. And third, professionals dealing with this work usually c

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Analytics About Employees and (3) HR Digital Transformation. It then differentiates where analytics falls within these categories by introducing three main types of analytics: (1) Descriptive, (2) Predictive, and (3) Prescriptive and explains the high-level definitions along with general applications of each. Finally, chapt

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HR Analytics Ikigai or team must have balance across four critical domains: Computing, Statistics and Research Methods, Human Behavior, and Business Acumen. Each area brings its own critical value to the HR Analytics equation and must be considered if an HR Analytics team is to function. Thi chapter then puts machine

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