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Don't squander your most valuable resource! Collectively, your workers are your company's most important and most valuable asset. To make the most of this asset, nothing beats quantitative performance and investment measurement. Learning and Development is an 80 billion-dollar industry, and every valuable employee represents a sizable investment on the part of your company. To keep your business moving forward, effective management of human capital is crucial. It generates plenty of data, and deep analysis of this data helps you provide feedback and make adjustments to capitalize on the combined knowledge, skills, and creativity of your workers. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments provides a guidebook for collecting, organizing, and analyzing the data surrounding human capital so you can make the most of your employees' potential. * Use predictive analysis to optimize human capital investments * Learn effective study design and alignment * Get the tools you need for measurement, surveys, and analysis * Decide what to measure and how to measure it * Outline your company's current and future analytics technology needs * Map data sources, and overcome barriers to data collection Authors Gene Pease, Bonnie Beresford, and Lew Walker provide case studies in which major companies applied human capital analytics to guide people decisions, and expand upon the role of analytics in Learning and Development. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments is an essential guide to 21st century human resources and management practices, and can keep you from squandering your company's most valuable resource.
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Seitenzahl: 381
Veröffentlichungsjahr: 2014
Foreword
Preface
Acknowledgments
Introduction
Chapter 1: The New Workforce
Defining the Generations
Projected Gaps as the Generations Shift
Chasing Down Retirement
Changing the Way We Work
Technology
Economy
Globalization
Demographics
Are Virtual Workplaces Here to Stay?
What Can Learning Leaders Do?
Summary
Notes
Chapter 2: The Need for a Strategy
Measurement as an Intentional Process
Continuum of Analytics
Continuum of Learning and Development Analytics
Summary
Notes
Case Study: A Measurement Strategy in Action: Pfizer
Chapter 3: Establishing a Measurement Framework
Measurement Frameworks
A Practical Measurement Framework for Learning
Summary
Notes
Case Study: Improving Collectors’ Skills: AT&T
Chapter 4: Planning for Success
Purpose and Political Will
Skills and Capabilities
Tools and Technology
Data
Taking Inventory: What It Takes
Developing the Plan: Measurement Blueprints
Summary
Note
Case Study: A Culture of Measurement: Chrysler Academy
Chapter 5: Curriculum Alignment
Goal: To Close the Skill Gaps
The Performance Map
How We Learn from High Performers
Quantifying the Gap
Aligning and Prioritizing the Curriculum
Beyond Curricula
Summary
Case Study: Performance Analytics for an Aligned Curriculum: VW Credit, Inc.
Chapter 6: Measurement Alignment
Alignment Wanted
Maps—An Old Idea, a New Application
What Is a Measurement Map?
What Does a Measurement Map Look Like?
Building a Measurement Map
Defining the Data
Summary
Case Study: Showing Learning’s Alignment with the Business: VW Credit, Inc.
Chapter 7: Improving on the Basics
The Basics
Improving Level 1
Improving Level 2
Improving the Analysis
Summary
Notes
Case Study: Leadership Program at a Fortune 500 Financial Company
Chapter 8: Hard Evidence Using Advanced Analytics
The Quest for Isolated Impact
Causation: What Really Drives Performance?
Isolating the Impact: Improving Levels 4 and 5
A Gentle Guide to the Statistics of Causation
Statistical Modeling and Significance
Isolation and the Analytics Continuum
Summary
Note
Case Study: Achieving Business Impact at a Major Utility Company
Case Study: Hard Evidence Using Advanced Analytics: Valuing Training at Defense Acquisition University
Note
Chapter 9: Optimization through Predictive Analytics
Predictive Analytics
How to Optimize Investments
Getting the Data for Optimization
Predictive Analytics—A Learning Game Changer
Pioneers of Predictive Analytics in Human Resources
Conclusion
Notes
Case Study: Optimizing Performance Management: VF Corporation
Chapter 10: In Conclusion—Get Started
Note
Appendix A: Talent Development Reporting Principles (TDRp): Managing Learning like a Business to Deliver Greater Impact, Effectiveness, and Efficiency
Appendix B: What It Takes
Appendix C: Measurement Plan: Blueprints for Measurement
Appendix D: Using Bloom’s Taxonomy
Appendix E: Guidelines for Creating Multiple Choice Questions
Appendix F: Getting Your Feet Wet in Data: Preparing and Cleaning the Data Set
Appendix G: How Many Participants Do You Need in a Study?
Glossary
About the Authors
Index
End User License Agreement
Figure 1.1 Workforce Populations
Figure 2.1 Continuum of Human Capital Analytics
Figure 2.2 Continuum of Human Capital Analytics with the Kirkpatrick/Phillips Scale
Figure 3.1 Kirkpatrick/Phillips Levels of Evaluation
Figure 3.2 Talent Development Reporting Principles (TDRp)
Figure 3.3 Learning Effectiveness Measurement (LEM) Methodology
Figure 3.4 Bersin by Deloitte Impact Measurement Framework
Figure 3.5 Measurement Framework for Learning
Figure 4.1 Sources of Data Needed by Each Phase of Measurement
Figure 4.2 What It Takes
Figure 4.3 Reaction Blueprint (Engagement Phase)
Figure 4.A Chrysler Academy’s Measurement Framework for Learning
Figure 5.1 Performance Map in Progress
Figure 5.2 Sample “Gap Analysis” Survey Question
Figure 5.A Building the Map
Figure 6.1 Creating a Causal Chain of Evidence.
Figure 6.2 Sales Training Measurement Map
Figure 6.3 Leadership Development Measurement Map
Figure 6.A VCI Collection Agent: Preliminary Measurement Map
Figure 7.1 Survey Design
Figure 7.2 Bloom’s Taxonomy (refined)
Figure 7.3 Determining the Type of Test
Figure 7.4 Data Representation without the Denominator
Figure 7.5 Data Representation Including the Denominator
Figure 7.6 Level 1 Segmentation
Figure 7.7 Level 2 Results by Tenure
Figure 8.1 Continuum of Human Capital Analytics
Figure 8.2 Sample Function—One Metric
Figure 8.A Study Hypothesis
Figure 8.B Shared Relationship
Figure 9.1 Types of Demographics
Figure 9.A Three Phrases of Maximizing Performance
Figure 9.B Improved Plan Quality Improves Engagement with Manager
Figure A.1 Executive Reporting Process
Figure A.2 High-Level Business Outcome Statement for the Private Sector
Figure A.3 High-Level Effectiveness Statement
Figure A.4 High-Level Efficiency Statement
Figure A.5 Executive Summary Report for the Private Sector
Figure A.6 Executive Program Report
Figure A.7 Executive Operations Report
Figure F.1 Data Sources
Figure G.1 Regional Sales by Trained versus Untrained
Figure G.2 High Temperatures Recorded over One Month
Table A.1 The Reports
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Cover
Table of Contents
Begin Reading
The Wiley & SAS Business Series presents books that help senior-level managers with their critical management decisions.
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Gene Pease
Bonnie Beresford
Lew Walker
Cover Design: Wiley
Cover Illustration: ©iStock.com/Robert Churchill
Copyright © 2014 by Gene Pease, Barbara Beresford, Lew Walker. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.
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Library of Congress Cataloging-in-Publication Data:
Pease, Gene, 1950-
Developing human capital : using analytics to plan and optimize your learning and development investments / Gene Pease, Barbara (Bonnie) Beresford, Lew Walker.
1 online resource. — (Wiley & SAS business series)
Includes bibliographical references and index.
Description based on print version record and CIP data provided by publisher; resource not viewed.
ISBN 978-1-118-91088-7 (ebk); ISBN 978-1-118-91098-6 (ebk); ISBN 978-1-118-75350-7 (hardback) 1. Manpower planning. 2. Human capital—Management. 3. Employees—Training of. 4. Personnel management. I. Beresford, Barbara, 1957- II. Walker, Lew, 1957- III. Title.
HF5549.5.M3
658.3'01—dc23
2014011509
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