Human Capital Analytics : (Record no. 6670)
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| 000 -LEADER | |
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| fixed length control field | 05148cam a2200241 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251022154717.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120806s2013 njua 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781118466766 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.301 |
| Item number | PeaH |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Pease, Gene |
| 245 10 - TITLE STATEMENT | |
| Title | Human Capital Analytics : |
| Remainder of title | How to Harness the Potential of Your Organization's Greatest Asset / |
| Statement of responsibility, etc | Gene Pease, Boyce Byerly and Jac Fitz-enz |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Hoboken : |
| Name of publisher | Wiley, |
| Year of publication | ©2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xiv, 236p. |
| 490 0# - SERIES STATEMENT | |
| Series statement | Wiley & SAS business series |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Table of Contents<br/>Preface xi<br/><br/>Acknowledgments xiii<br/><br/>Introduction Realizing the Dream: From Nuisance to Necessity 1<br/><br/>Chapter 1 Human Capital Analytics 13<br/><br/>Human Capital Analytics Continuum 16<br/><br/>Summary 28<br/><br/>Notes 28<br/><br/>Chapter 2 Alignment 31<br/><br/>The Stakeholder Workshop: Creating the Right Climate for Alignment 33<br/><br/>Aligning Stakeholders 33<br/><br/>Who Are Your Stakeholders? 35<br/><br/>What Should You Accomplish in a Stakeholder Meeting? 37<br/><br/>Deciding What to Measure with Your Stakeholders 41<br/><br/>Leading Indicators 42<br/><br/>Business Impact 44<br/><br/>Assigning Financial Values to “Intangibles” 44<br/><br/>Defining Your Participants 45<br/><br/>Summary 59<br/><br/>Notes 60<br/><br/>Chapter 3 The Measurement Plan 61<br/><br/>Defining the Intervention(s) 62<br/><br/>Measurement Map 63<br/><br/>Hypotheses or Business Questions 66<br/><br/>Defining the Metrics 67<br/><br/>Demographics 68<br/><br/>Data Sources and Requirements 70<br/><br/>Summary 77<br/><br/>Note 77<br/><br/>Chapter 4 It’s All about the Data 79<br/><br/>Types of Data 80<br/><br/>Tying Your Data Sets Together 86<br/><br/>Difficulties in Obtaining Data 89<br/><br/>Ethics of Measurement and Evaluation 90<br/><br/>Telling the Truth 92<br/><br/>Summary 97<br/><br/>Notes 98<br/><br/>Chapter 5 What Dashboards Are Telling You: Descriptive Statistics and Correlations 101<br/><br/>Descriptive Statistics 102<br/><br/>Going Graphic with the Data 103<br/><br/>Data over Time 104<br/><br/>Descriptive Statistics on Steroids 106<br/><br/>Correlation Does Not Imply Causation 108<br/><br/>Summary 115<br/><br/>Notes 116<br/><br/>Chapter 6 Causation: What Really Drives Performance 117<br/><br/>Can You Create Separate Test and Control Groups? 120<br/><br/>Are There Observable Differences? 121<br/><br/>Did You Consider Prior Performance? 121<br/><br/>Did You Consider Time-Related Changes? 122<br/><br/>Did You Look at the Descriptive Statistics? 123<br/><br/>Have You Considered the Relationship between the Metrics? 123<br/><br/>A Gentle Introduction to Statistics 123<br/><br/>Basic Ideas behind Regression 125<br/><br/>Model Fit and Statistical Significance 126<br/><br/>Summary 130<br/><br/>Notes 131<br/><br/>Chapter 7 Beyond ROI to Optimization 133<br/><br/>Optimization 134<br/><br/>Summary 143<br/><br/>Notes 144<br/><br/>Chapter 8 Share the Story 145<br/><br/>Presenting the Financials 147<br/><br/>Telling the Story and Adding Up the Numbers 148<br/><br/>Preparing for the Meetings 152<br/><br/>Summary 152<br/><br/>Notes 153<br/><br/>Chapter 9 Conclusion 155<br/><br/>Human Capital Analytics 156<br/><br/>Alignment 156<br/><br/>The Measurement Plan 157<br/><br/>It’s All about the Data 159<br/><br/>What Dashboards Are Telling You: Descriptive Statistics and Correlations 159<br/><br/>Causation: What Really Drives Performance 161<br/><br/>Beyond ROI to Optimization 162<br/><br/>The Ultimate Goal 164<br/><br/>What Others Think about the Future of Analytics 164<br/><br/>Final Thoughts 169<br/><br/>Notes 169<br/><br/>Appendix A: Different Levels to Describe Measurement 171<br/><br/>Appendix B: Getting Your Feet Wet in Data: Preparing and Cleaning the Data Set 181<br/><br/>Appendix C: Details of Basic Descriptive Statistics 193<br/><br/>Appendix D: Regression Modeling 199<br/><br/>Appendix E: Generating Soft Data from Employees 205<br/><br/>Glossary 209<br/><br/>About the Authors 225<br/><br/>Index 227 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | An insightful look at the implementation of advanced analytics on human capital<br/>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.<br/><br/>Written by Gene Pease, Boyce Byerly, and Jac Fitz-enz, widely regarded as the father of human capital<br/>Offers practical examples from case studies of companies applying analytics to their people decisions<br/>An in-depth discussion of tools needed to do the work, particularly focusing on multivariate analysis<br/>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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Human Capital |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Personnel Management |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Byerly, Boyce |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fitz-enz, Jac |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Purchase Price | Bill number | Full call number | Accession Number | Copy number | Print Price | Bill Date/Price effective from | Koha item type |
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| Non-fiction | Indian Institute of Technology Tirupati | Indian Institute of Technology Tirupati | General Stacks | 21/10/2025 | Creative Books | 3867.12 | CB/25128 | 658.301 PeaH (11703) | 11703 | Copy 01 | 5524.47 | 21/10/2025 | Books |