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

Product form

£29.25

Includes FREE delivery

RRP £39.00 – you save £9.75 (25%)

Order before 4pm tomorrow for delivery by Mon 22 Dec 2025.

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

15 in stock


    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

    Recently viewed products

    © 2025 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account