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Predictive Analytics for Human Resources
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Predictive Analytics for Human Resources
by Jac Fitz-enz, John Mattox II
Predictive Analytics for Human Resources
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 Point
Preparing 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 Mind
Go 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 Together
Predictive Analytics for HR in Action
Notes
Epilogue
Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes
About the Authors
Index
End User License Agreement
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Predictive Analytics for Human Resources
Predictive Analytics for Human Resources
Jac Fitz-enz
John R. Mattox, II
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