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Predictive Analytics for Human Resources

Book Description

Create and run a human resource analytics project with confidence

For 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 Human Resources is designed to answer these and other vital questions. The book explains the basics of every business—the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications.

Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find:

  • A comprehensive guide to developing and implementing a human resource analytics project

  • Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling

  • Explanations of the ten steps required in building an analytics function

  • How to add value through analysis of systems such as staffing, training, and retention

  • For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.

    Table of Contents

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