Predictive analytics for human resources /

• Κύριος συγγραφέας: Fitz-enz, Jac
• Άλλοι συγγραφείς: Mattox, John, 1971-
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, New Jersey : John Wiley & Sons, Inc., 2014.
• Σειρά: Wiley and SAS business series.
• Θέματα: Personnel management.; Human capital > Management.; Decision making.; BUSINESS & ECONOMICS > Decision-Making & Problem Solving.; Electronic books.

"Create and run a human resource analytics project with confidenceFor any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Hum...

Πίνακας περιεχομένων:

• Title; Copyright; Dedication; Foreword; Preface; Chapter 1: Where's the Value?; Some Basics; What Is Analytics?; Two Values; Analytic Capabilities; Analytic Value Chain; Analytic Model; Typical Application; Training Value Measurement Model; Inside the Data; Notes; Chapter 2: Getting Started; Go-to-Market Models; Assessment; Developmental Experiences; Financial Connections; Sample Case; Focusing on the Purpose; Present-Day Needs; How Human Capital Analytics Is Being Used; Turning Data into Information; Three Value Paths; Solving a Problem; Essential Step; Prime Question
• Case in PointPreparing for an Analytics Unit; Ten Steps for an Analytics Unit; Structure and Team Building; Developing an Analytics Culture; Notes; Chapter 3: What You Will Need; Dealing with the C Level; Breaking Through; Research; Recruiting a Sponsor or Champion; Making the Sale; Selling Example; Working with Consultants and Coaches; Designing and Delivering Reports; Making an Impact; Process Management; Preparation; Notes; Chapter 4: Data Issues; Efficiency Measures; Effectiveness Measures; Business Outcome Measures; Note; Chapter 5: Predictive Statistics Examples
• Begin with the End in MindGo Back to the Beginning; Who Owns Data, and Will They Share It?; What Will You Do with the Data?; What Form Is the Data In?; Is the Data Quality Sufficient?; Note; Chapter 6: Predictive Analytics in Action; First Step: Determine the Key Performance Indicators; Second Step: Analyze and Report the Data; Relationships, Optimization, and Predictive Analytics; Predictive Analytics; Interpreting the Results; Predicting the Future; Structural Equation Modeling; Notes; Chapter 7: Predicting the Future of Human Capital Analytics; What Does the Future Look Like?
• Bringing It All TogetherPredictive Analytics for HR in Action; Notes; Epilogue; Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes; About the Authors; Index; End User License Agreement