Developing Human Capital – Using Analytics to Plan and Optimize Your Learning and Development Investments

<p>Foreword xiii</p>
<p>Preface xvii</p>
<p>Acknowledgments xix</p>
<p>Introduction xxi</p>
<p>Chapter 1 The New Workforce 1</p>
<p>Defining the Generations 2</p>
<p>Projected Gaps as the Generations Shift 4</p>
<p>Chasing Down Retirement 4</p>
<p>Changing the Way We Work 5</p>
<p>Technology 6</p>
<p>Economy 7</p>
<p>Globalization 8</p>
<p>Demographics 9</p>
<p>Are Virtual Workplaces Here to Stay? 9</p>
<p>What Can Learning Leaders Do? 9</p>
<p>Summary 10</p>
<p>Notes 11</p>
<p>Chapter 2 The Need for a Strategy 13</p>
<p>Measurement as an Intentional Process 15</p>
<p>Continuum of Analytics 17</p>
<p>Continuum of Learning and Development</p>
<p>Analytics 20</p>
<p>Summary 22</p>
<p>Notes 22</p>
<p>Case Study: A Measurement Strategy in Action:</p>
<p>Pfizer 24</p>
<p>Chapter 3 Establishing a Measurement Framework 31</p>
<p>Measurement Frameworks 32</p>
<p>A Practical Measurement Framework for Learning 35</p>
<p>Summary 39<br /> <br /> Notes 40</p>
<p>Case Study: Improving Collectors Skills: AT&amp;T 41</p>
<p>Chapter 4 Planning for Success 61</p>
<p>Purpose and Political Will 62</p>
<p>Skills and Capabilities 65</p>
<p>Tools and Technology 66</p>
<p>Data 67</p>
<p>Taking Inventory: What It Takes 69</p>
<p>Developing the Plan: Measurement Blueprints 69</p>
<p>Summary 73</p>
<p>Note 73</p>
<p>Case Study: A Culture of Measurement: Chrysler</p>
<p>Academy 74</p>
<p>Chapter 5 Curriculum Alignment 79</p>
<p>Goal: To Close the Skill Gaps 80</p>
<p>The Performance Map 80</p>
<p>How We Learn from High Performers 82</p>
<p>Quantifying the Gap 84</p>
<p>Aligning and Prioritizing the Curriculum 85</p>
<p>Beyond Curricula 86</p>
<p>Summary 87</p>
<p>Case Study: Performance Analytics for an Aligned Curriculum: VW Credit, Inc. 88</p>
<p>Chapter 6 Measurement Alignment 97</p>
<p>Alignment Wanted 98</p>
<p>Maps An Old Idea, a New Application 98</p>
<p>What Is a Measurement Map? 99</p>
<p>What Does a Measurement Map Look Like? 100</p>
<p>Building a Measurement Map 104</p>
<p>Defining the Data 106</p>
<p>Summary 107</p>
<p>Case Study: Showing Learning s Alignment with the</p>
<p>Business: VW Credit, Inc. 109</p>
<p>Chapter 7 Improving on the Basics 115</p>
<p>The Basics 116</p>
<p>Improving Level 1 118</p>
<p>Improving Level 2 124</p>
<p>Improving the Analysis 130</p>
<p>Summary 137</p>
<p>Notes 137</p>
<p>Case Study: Leadership Program at a Fortune 500 Financial Company 139</p>
<p>Chapter 8 Hard Evidence Using Advanced Analytics 145</p>
<p>The Quest for Isolated Impact 146</p>
<p>Causation: What Really Drives Performance? 149</p>
<p>Isolating the Impact: Improving Levels 4 and 5 150</p>
<p>A Gentle Guide to the Statistics of Causation 152</p>
<p>Statistical Modeling and Significance 154</p>
<p>Isolation and the Analytics Continuum 155</p>
<p>Summary 156</p>
<p>Note 157</p>
<p>Case Study: Achieving Business Impact at a Major Utility Company 158</p>
<p>Case Study: Hard Evidence Using Advanced Analytics: Valuing Training at Defense Acquisition University 164</p>
<p>Chapter 9 Optimization through Predictive Analytics 169</p>
<p>Predictive Analytics 170</p>
<p>How to Optimize Investments 171</p>
<p>Getting the Data for Optimization 174</p>
<p>Predictive Analytics A Learning Game Changer 175</p>
<p>Pioneers of Predictive Analytics in Human Resources 176</p>
<p>Conclusion 177</p>
<p>Notes 179</p>
<p>Case Study: Optimizing Performance Management: VF Corporation 180</p>
<p>Chapter 10 In Conclusion Get Started 187</p>
<p>Note 189</p>
<p>Appendix A Talent Development Reporting Principles (TDRp): Managing Learning like a Business to Deliver<br /> Greater Impact, Effectiveness, and Efficiency 191</p>
<p>Appendix B What It Takes 219</p>
<p>Appendix C Measurement Plan: Blueprints for Measurement 225</p>
<p>Appendix D Using Bloom s Taxonomy 233</p>
<p>Appendix E Guidelines for Creating Multiple Choice Questions 237</p>
<p>Appendix F Getting Your Feet Wet in Data: Preparing and Cleaning the Data Set 241</p>
<p>Appendix G How Many Participants Do You Need in a Study? 255</p>
<p>Glossary 259</p>
<p>About the Authors 273</p>
<p>Index 275</p>