Description

Book Synopsis
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.

Table of Contents

Foreword xiii

Preface xv

Chapter 1 Where’s the Value? 1

Some Basics 1

What Is Analytics? 2

Two Values 4

Analytic Capabilities 4

Analytic Value Chain 6

Analytic Model 8

Typical Application 14

Training Value Measurement Model 15

Inside the Data 16

Notes 19

Chapter 2 Getting Started 21

Go-to-Market Models 22

Assessment 23

Developmental Experiences 23

Financial Connections 24

Sample Case 26

Focusing on the Purpose 26

Present-Day Needs 28

How Human Capital Analytics Is Being Used 29

Turning Data into Information 30

Three Value Paths 30

Solving a Problem 31

Essential Step 31

Prime Question 32

Case in Point 32

Preparing for an Analytics Unit 33

Ten Steps for an Analytics Unit 35

Structure and Team Building 36

Developing an Analytics Culture 37

Notes 37

Chapter 3 What You Will Need 39

Dealing with the C Level 40

Breaking Through 41

Research 41

Recruiting a Sponsor or Champion 42

Making the Sale 43

Selling Example 44

Working with Consultants and Coaches 46

Designing and Delivering Reports 48

Making an Impact 50

Process Management 50

Preparation 52

Notes 54

Chapter 4 Data Issues 55

Efficiency Measures 56

Effectiveness Measures 61

Business Outcome Measures 67

Note 69

Chapter 5 Predictive Statistics Examples 71

Begin with the End in Mind 71

Go Back to the Beginning 74

Who Owns Data, and Will They Share It? 75

What Will You Do with the Data? 77

What Form Is the Data In? 79

Is the Data Quality Sufficient? 80

Note 82

Chapter 6 Predictive Analytics in Action 83

First Step: Determine the Key Performance Indicators 83

Second Step: Analyze and Report the Data 89

Relationships, Optimization, and Predictive Analytics 96

Predictive Analytics 97

Interpreting the Results 102

Predicting the Future 111

Structural Equation Modeling 113

Notes 114

Chapter 7 Predicting the Future of Human Capital Analytics 115

What Does the Future Look Like? 116

Bringing It All Together 126

Predictive Analytics for HR in Action 126

Notes 128

Epilogue 129

Appendix: Example Measures of Efficiency,

Effectiveness, and Outcomes 133

About the Authors 135

Index 137

Predictive Analytics for Human Resources

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    Order before 4pm today for delivery by Fri 19 Jun 2026.

    A Hardback by Jac Fitz-enz, John Mattox, II


      View other formats and editions of Predictive Analytics for Human Resources by Jac Fitz-enz

      Publisher: John Wiley & Sons Inc
      Publication Date: 02/09/2014
      ISBN13: 9781118893678, 978-1118893678
      ISBN10: 1118893670

      Description

      Book Synopsis
      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.

      Table of Contents

      Foreword xiii

      Preface xv

      Chapter 1 Where’s the Value? 1

      Some Basics 1

      What Is Analytics? 2

      Two Values 4

      Analytic Capabilities 4

      Analytic Value Chain 6

      Analytic Model 8

      Typical Application 14

      Training Value Measurement Model 15

      Inside the Data 16

      Notes 19

      Chapter 2 Getting Started 21

      Go-to-Market Models 22

      Assessment 23

      Developmental Experiences 23

      Financial Connections 24

      Sample Case 26

      Focusing on the Purpose 26

      Present-Day Needs 28

      How Human Capital Analytics Is Being Used 29

      Turning Data into Information 30

      Three Value Paths 30

      Solving a Problem 31

      Essential Step 31

      Prime Question 32

      Case in Point 32

      Preparing for an Analytics Unit 33

      Ten Steps for an Analytics Unit 35

      Structure and Team Building 36

      Developing an Analytics Culture 37

      Notes 37

      Chapter 3 What You Will Need 39

      Dealing with the C Level 40

      Breaking Through 41

      Research 41

      Recruiting a Sponsor or Champion 42

      Making the Sale 43

      Selling Example 44

      Working with Consultants and Coaches 46

      Designing and Delivering Reports 48

      Making an Impact 50

      Process Management 50

      Preparation 52

      Notes 54

      Chapter 4 Data Issues 55

      Efficiency Measures 56

      Effectiveness Measures 61

      Business Outcome Measures 67

      Note 69

      Chapter 5 Predictive Statistics Examples 71

      Begin with the End in Mind 71

      Go Back to the Beginning 74

      Who Owns Data, and Will They Share It? 75

      What Will You Do with the Data? 77

      What Form Is the Data In? 79

      Is the Data Quality Sufficient? 80

      Note 82

      Chapter 6 Predictive Analytics in Action 83

      First Step: Determine the Key Performance Indicators 83

      Second Step: Analyze and Report the Data 89

      Relationships, Optimization, and Predictive Analytics 96

      Predictive Analytics 97

      Interpreting the Results 102

      Predicting the Future 111

      Structural Equation Modeling 113

      Notes 114

      Chapter 7 Predicting the Future of Human Capital Analytics 115

      What Does the Future Look Like? 116

      Bringing It All Together 126

      Predictive Analytics for HR in Action 126

      Notes 128

      Epilogue 129

      Appendix: Example Measures of Efficiency,

      Effectiveness, and Outcomes 133

      About the Authors 135

      Index 137

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