Human Capital Analytics : How to Harness the Potential of Your Organization's Greatest Asset / Gene Pease, Boyce Byerly and Jac Fitz-enz

By:

Pease, Gene

Contributor(s):

Material type: Text

9781118466766

Subject(s):

DDC classification:

658.301 PeaH

Contents:

Table of Contents Preface xi Acknowledgments xiii Introduction Realizing the Dream: From Nuisance to Necessity 1 Chapter 1 Human Capital Analytics 13 Human Capital Analytics Continuum 16 Summary 28 Notes 28 Chapter 2 Alignment 31 The Stakeholder Workshop: Creating the Right Climate for Alignment 33 Aligning Stakeholders 33 Who Are Your Stakeholders? 35 What Should You Accomplish in a Stakeholder Meeting? 37 Deciding What to Measure with Your Stakeholders 41 Leading Indicators 42 Business Impact 44 Assigning Financial Values to “Intangibles” 44 Defining Your Participants 45 Summary 59 Notes 60 Chapter 3 The Measurement Plan 61 Defining the Intervention(s) 62 Measurement Map 63 Hypotheses or Business Questions 66 Defining the Metrics 67 Demographics 68 Data Sources and Requirements 70 Summary 77 Note 77 Chapter 4 It’s All about the Data 79 Types of Data 80 Tying Your Data Sets Together 86 Difficulties in Obtaining Data 89 Ethics of Measurement and Evaluation 90 Telling the Truth 92 Summary 97 Notes 98 Chapter 5 What Dashboards Are Telling You: Descriptive Statistics and Correlations 101 Descriptive Statistics 102 Going Graphic with the Data 103 Data over Time 104 Descriptive Statistics on Steroids 106 Correlation Does Not Imply Causation 108 Summary 115 Notes 116 Chapter 6 Causation: What Really Drives Performance 117 Can You Create Separate Test and Control Groups? 120 Are There Observable Differences? 121 Did You Consider Prior Performance? 121 Did You Consider Time-Related Changes? 122 Did You Look at the Descriptive Statistics? 123 Have You Considered the Relationship between the Metrics? 123 A Gentle Introduction to Statistics 123 Basic Ideas behind Regression 125 Model Fit and Statistical Significance 126 Summary 130 Notes 131 Chapter 7 Beyond ROI to Optimization 133 Optimization 134 Summary 143 Notes 144 Chapter 8 Share the Story 145 Presenting the Financials 147 Telling the Story and Adding Up the Numbers 148 Preparing for the Meetings 152 Summary 152 Notes 153 Chapter 9 Conclusion 155 Human Capital Analytics 156 Alignment 156 The Measurement Plan 157 It’s All about the Data 159 What Dashboards Are Telling You: Descriptive Statistics and Correlations 159 Causation: What Really Drives Performance 161 Beyond ROI to Optimization 162 The Ultimate Goal 164 What Others Think about the Future of Analytics 164 Final Thoughts 169 Notes 169 Appendix A: Different Levels to Describe Measurement 171 Appendix B: Getting Your Feet Wet in Data: Preparing and Cleaning the Data Set 181 Appendix C: Details of Basic Descriptive Statistics 193 Appendix D: Regression Modeling 199 Appendix E: Generating Soft Data from Employees 205 Glossary 209 About the Authors 225 Index 227

Summary: An insightful look at the implementation of advanced analytics on human capital Human capital analytics, also known as human resources analytics or talent analytics, is the application of sophisticated data mining and business analytics techniques to human resources data. Human Capital Analytics provides an in-depth look at the science of human capital analytics, giving practical examples from case studies of companies applying analytics to their people decisions and providing a framework for using predictive analytics to optimize human capital investments. Written by Gene Pease, Boyce Byerly, and Jac Fitz-enz, widely regarded as the father of human capital Offers practical examples from case studies of companies applying analytics to their people decisions An in-depth discussion of tools needed to do the work, particularly focusing on multivariate analysis The challenge of human resources analytics is to identify what data should be captured and how to use the data to model and predict capabilities so the organization gets an optimal return on investment on its human capital. The goal of human capital analytics is to provide an organization with insights for effectively managing employees so that business goals can be reached quickly and efficiently. Written by human capital analytics specialists Gene Pease, Boyce Byerly, and Jac Fitz-enz, Human Capital Analytics provides essential action steps for implementation of advanced analytics on human capital.

List(s) this item appears in: New Arrivals 15-30 November 2025, Vol. 06, Issue 31

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	Indian Institute of Technology Tirupati General Stacks	Non-fiction	658.301 PeaH (11703) (Browse shelf(Opens below))	Copy 01	Available	11703

Table of Contents
Preface xi

Acknowledgments xiii

Introduction Realizing the Dream: From Nuisance to Necessity 1

Chapter 1 Human Capital Analytics 13

Human Capital Analytics Continuum 16

Summary 28

Notes 28

Chapter 2 Alignment 31

The Stakeholder Workshop: Creating the Right Climate for Alignment 33

Aligning Stakeholders 33

Who Are Your Stakeholders? 35

What Should You Accomplish in a Stakeholder Meeting? 37

Deciding What to Measure with Your Stakeholders 41

Leading Indicators 42

Business Impact 44

Assigning Financial Values to “Intangibles” 44

Defining Your Participants 45

Summary 59

Notes 60

Chapter 3 The Measurement Plan 61

Defining the Intervention(s) 62

Measurement Map 63

Hypotheses or Business Questions 66

Defining the Metrics 67

Demographics 68

Data Sources and Requirements 70

Summary 77

Note 77

Chapter 4 It’s All about the Data 79

Types of Data 80

Tying Your Data Sets Together 86

Difficulties in Obtaining Data 89

Ethics of Measurement and Evaluation 90

Telling the Truth 92

Summary 97

Notes 98

Chapter 5 What Dashboards Are Telling You: Descriptive Statistics and Correlations 101

Descriptive Statistics 102

Going Graphic with the Data 103

Data over Time 104

Descriptive Statistics on Steroids 106

Correlation Does Not Imply Causation 108

Summary 115

Notes 116

Chapter 6 Causation: What Really Drives Performance 117

Can You Create Separate Test and Control Groups? 120

Are There Observable Differences? 121

Did You Consider Prior Performance? 121

Did You Consider Time-Related Changes? 122

Did You Look at the Descriptive Statistics? 123

Have You Considered the Relationship between the Metrics? 123

A Gentle Introduction to Statistics 123

Basic Ideas behind Regression 125

Model Fit and Statistical Significance 126

Summary 130

Notes 131

Chapter 7 Beyond ROI to Optimization 133

Optimization 134

Summary 143

Notes 144

Chapter 8 Share the Story 145

Presenting the Financials 147

Telling the Story and Adding Up the Numbers 148

Preparing for the Meetings 152

Summary 152

Notes 153

Chapter 9 Conclusion 155

Human Capital Analytics 156

Alignment 156

The Measurement Plan 157

It’s All about the Data 159

What Dashboards Are Telling You: Descriptive Statistics and Correlations 159

Causation: What Really Drives Performance 161

Beyond ROI to Optimization 162

The Ultimate Goal 164

What Others Think about the Future of Analytics 164

Final Thoughts 169

Notes 169

Appendix A: Different Levels to Describe Measurement 171

Appendix B: Getting Your Feet Wet in Data: Preparing and Cleaning the Data Set 181

Appendix C: Details of Basic Descriptive Statistics 193

Appendix D: Regression Modeling 199

Appendix E: Generating Soft Data from Employees 205

Glossary 209

About the Authors 225

Index 227

An insightful look at the implementation of advanced analytics on human capital
Human capital analytics, also known as human resources analytics or talent analytics, is the application of sophisticated data mining and business analytics techniques to human resources data. Human Capital Analytics provides an in-depth look at the science of human capital analytics, giving practical examples from case studies of companies applying analytics to their people decisions and providing a framework for using predictive analytics to optimize human capital investments.

Written by Gene Pease, Boyce Byerly, and Jac Fitz-enz, widely regarded as the father of human capital
Offers practical examples from case studies of companies applying analytics to their people decisions
An in-depth discussion of tools needed to do the work, particularly focusing on multivariate analysis
The challenge of human resources analytics is to identify what data should be captured and how to use the data to model and predict capabilities so the organization gets an optimal return on investment on its human capital. The goal of human capital analytics is to provide an organization with insights for effectively managing employees so that business goals can be reached quickly and efficiently. Written by human capital analytics specialists Gene Pease, Boyce Byerly, and Jac Fitz-enz, Human Capital Analytics provides essential action steps for implementation of advanced analytics on human capital.

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