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    1. Ekonomi och Ledarskap
    2. Ledarskapsböcker

    Developing Human Capital

    Using Analytics to Plan and Optimize Your Learning and Development Investments

    AvGene Pease,Barbara Beresford

    Inbunden, Engelska, 2014

    Del i serien Wiley and SAS Business Series

    439 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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 investmentsLearn effective study design and alignmentGet the tools you need for measurement, surveys, and analysisDecide what to measure and how to measure itOutline your company's current and future analytics technology needsMap data sources, and overcome barriers to data collectionAuthors 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.

    Produktinformation

    • Utgivningsdatum:2014-08-19
    • Mått:160 x 236 x 28 mm
    • Vikt:517 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Wiley and SAS Business Series
    • Antal sidor:320
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781118753507

    Utforska kategorier

    • Ledarskapsböcker inom Ekonomi och Ledarskap

    Mer om författaren

    GENE PEASE is the founder and CEO of Vestrics (a Capital Analytics Company), the leading provider of workforce optimization software and consulting services. The firm has been recognized with awards from Bersin and Associates, CLO Magazine, CIO Review Magazine, Gartner, and the ROI Institute.BONNIE BERESFORD, PHD, is the Director of Performance Strategy and Design at AMCI Global. While Vice President at Capital Analytics, Beresford’s work has earned her clients three CLO Magazine - Business Impact awards.LEW WALKER, SPHR, is the Vice President of Human Resources at AT&T. He serves on the Editorial Board of CLO Magazine and is a frequent conference speaker.

    Innehållsförteckning

    • Foreword xiiiPreface xviiAcknowledgments xixIntroduction xxiChapter 1 The New Workforce 1Defining the Generations 2Projected Gaps as the Generations Shift 4Chasing Down Retirement 4Changing the Way We Work 5Technology 6Economy 7Globalization 8Demographics 9Are Virtual Workplaces Here to Stay? 9What Can Learning Leaders Do? 9Summary 10Notes 11Chapter 2 The Need for a Strategy 13Measurement as an Intentional Process 15Continuum of Analytics 17Continuum of Learning and DevelopmentAnalytics 20Summary 22Notes 22Case Study: A Measurement Strategy in Action:Pfizer 24Chapter 3 Establishing a Measurement Framework 31Measurement Frameworks 32A Practical Measurement Framework for Learning 35Summary 39 Notes 40Case Study: Improving Collectors’ Skills: AT&T 41Chapter 4 Planning for Success 61Purpose and Political Will 62Skills and Capabilities 65Tools and Technology 66Data 67Taking Inventory: What It Takes 69Developing the Plan: Measurement Blueprints 69Summary 73Note 73Case Study: A Culture of Measurement: ChryslerAcademy 74Chapter 5 Curriculum Alignment 79Goal: To Close the Skill Gaps 80The Performance Map 80How We Learn from High Performers 82Quantifying the Gap 84Aligning and Prioritizing the Curriculum 85Beyond Curricula 86Summary 87Case Study: Performance Analytics for an Aligned Curriculum: VW Credit, Inc. 88Chapter 6 Measurement Alignment 97Alignment Wanted 98Maps—An Old Idea, a New Application 98What Is a Measurement Map? 99What Does a Measurement Map Look Like? 100Building a Measurement Map 104Defining the Data 106Summary 107Case Study: Showing Learning’s Alignment with theBusiness: VW Credit, Inc. 109Chapter 7 Improving on the Basics 115The Basics 116Improving Level 1 118Improving Level 2 124Improving the Analysis 130Summary 137Notes 137Case Study: Leadership Program at a Fortune 500 Financial Company 139Chapter 8 Hard Evidence Using Advanced Analytics 145The Quest for Isolated Impact 146Causation: What Really Drives Performance? 149Isolating the Impact: Improving Levels 4 and 5 150A Gentle Guide to the Statistics of Causation 152Statistical Modeling and Significance 154Isolation and the Analytics Continuum 155Summary 156Note 157Case Study: Achieving Business Impact at a Major Utility Company 158Case Study: Hard Evidence Using Advanced Analytics: Valuing Training at Defense Acquisition University 164Chapter 9 Optimization through Predictive Analytics 169Predictive Analytics 170How to Optimize Investments 171Getting the Data for Optimization 174Predictive Analytics—A Learning Game Changer 175Pioneers of Predictive Analytics in Human Resources 176Conclusion 177Notes 179Case Study: Optimizing Performance Management: VF Corporation 180Chapter 10 In Conclusion—Get Started 187Note 189Appendix A Talent Development Reporting Principles (TDRp): Managing Learning like a Business to DeliverGreater Impact, Effectiveness, and Efficiency 191Appendix B What It Takes 219Appendix C Measurement Plan: Blueprints for Measurement 225Appendix D Using Bloom’s Taxonomy 233Appendix E Guidelines for Creating Multiple Choice Questions 237Appendix F Getting Your Feet Wet in Data: Preparing and Cleaning the Data Set 241Appendix G How Many Participants Do You Need in a Study? 255Glossary 259About the Authors 273Index 275