{"product_id":"human-capital-analytics-isbn-9781118466766","title":"Human Capital Analytics","description":"\u003cb\u003eAn insightful look at the implementation of advanced analytics on human capital\u003c\/b\u003e  \u003cp\u003eHuman 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. \u003ci\u003eHuman Capital Analytics\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eWritten by Gene Pease, Boyce Byerly, and Jac Fitz-enz, widely regarded as the father of human capital\u003c\/li\u003e \u003cli\u003eOffers practical examples from case studies of companies applying analytics to their people decisions\u003c\/li\u003e \u003cli\u003eAn in-depth discussion of tools needed to do the work, particularly focusing on multivariate analysis\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe 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, \u003ci\u003eHuman Capital Analytics\u003c\/i\u003e provides essential action steps for implementation of advanced analytics on human capital.\u003c\/p\u003e \u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xiii\u003c\/p\u003e \u003cp\u003eIntroduction Realizing the Dream: From Nuisance to Necessity 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Human Capital Analytics 13\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHuman Capital Analytics Continuum 16\u003c\/p\u003e \u003cp\u003eSummary 28\u003c\/p\u003e \u003cp\u003eNotes 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Alignment 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Stakeholder Workshop: Creating the Right Climate for Alignment 33\u003c\/p\u003e \u003cp\u003eAligning Stakeholders 33\u003c\/p\u003e \u003cp\u003eWho Are Your Stakeholders? 35\u003c\/p\u003e \u003cp\u003eWhat Should You Accomplish in a Stakeholder Meeting? 37\u003c\/p\u003e \u003cp\u003eDeciding What to Measure with Your Stakeholders 41\u003c\/p\u003e \u003cp\u003eLeading Indicators 42\u003c\/p\u003e \u003cp\u003eBusiness Impact 44\u003c\/p\u003e \u003cp\u003eAssigning Financial Values to “Intangibles” 44\u003c\/p\u003e \u003cp\u003eDefining Your Participants 45\u003c\/p\u003e \u003cp\u003eSummary 59\u003c\/p\u003e \u003cp\u003eNotes 60\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 The Measurement Plan 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDefining the Intervention(s) 62\u003c\/p\u003e \u003cp\u003eMeasurement Map 63\u003c\/p\u003e \u003cp\u003eHypotheses or Business Questions 66\u003c\/p\u003e \u003cp\u003eDefining the Metrics 67\u003c\/p\u003e \u003cp\u003eDemographics 68\u003c\/p\u003e \u003cp\u003eData Sources and Requirements 70\u003c\/p\u003e \u003cp\u003eSummary 77\u003c\/p\u003e \u003cp\u003eNote 77\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 It’s All about the Data 79\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTypes of Data 80\u003c\/p\u003e \u003cp\u003eTying Your Data Sets Together 86\u003c\/p\u003e \u003cp\u003eDifficulties in Obtaining Data 89\u003c\/p\u003e \u003cp\u003eEthics of Measurement and Evaluation 90\u003c\/p\u003e \u003cp\u003eTelling the Truth 92\u003c\/p\u003e \u003cp\u003eSummary 97\u003c\/p\u003e \u003cp\u003eNotes 98\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 What Dashboards Are Telling You: Descriptive Statistics and Correlations 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDescriptive Statistics 102\u003c\/p\u003e \u003cp\u003eGoing Graphic with the Data 103\u003c\/p\u003e \u003cp\u003eData over Time 104\u003c\/p\u003e \u003cp\u003eDescriptive Statistics on Steroids 106\u003c\/p\u003e \u003cp\u003eCorrelation Does Not Imply Causation 108\u003c\/p\u003e \u003cp\u003eSummary 115\u003c\/p\u003e \u003cp\u003eNotes 116\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Causation: What Really Drives Performance 117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCan You Create Separate Test and Control Groups? 120\u003c\/p\u003e \u003cp\u003eAre There Observable Differences? 121\u003c\/p\u003e \u003cp\u003eDid You Consider Prior Performance? 121\u003c\/p\u003e \u003cp\u003eDid You Consider Time-Related Changes? 122\u003c\/p\u003e \u003cp\u003eDid You Look at the Descriptive Statistics? 123\u003c\/p\u003e \u003cp\u003eHave You Considered the Relationship between the Metrics? 123\u003c\/p\u003e \u003cp\u003eA Gentle Introduction to Statistics 123\u003c\/p\u003e \u003cp\u003eBasic Ideas behind Regression 125\u003c\/p\u003e \u003cp\u003eModel Fit and Statistical Significance 126\u003c\/p\u003e \u003cp\u003eSummary 130\u003c\/p\u003e \u003cp\u003eNotes 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Beyond ROI to Optimization 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOptimization 134\u003c\/p\u003e \u003cp\u003eSummary 143\u003c\/p\u003e \u003cp\u003eNotes 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Share the Story 145\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePresenting the Financials 147\u003c\/p\u003e \u003cp\u003eTelling the Story and Adding Up the Numbers 148\u003c\/p\u003e \u003cp\u003ePreparing for the Meetings 152\u003c\/p\u003e \u003cp\u003eSummary 152\u003c\/p\u003e \u003cp\u003eNotes 153\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Conclusion 155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHuman Capital Analytics 156\u003c\/p\u003e \u003cp\u003eAlignment 156\u003c\/p\u003e \u003cp\u003eThe Measurement Plan 157\u003c\/p\u003e \u003cp\u003eIt’s All about the Data 159\u003c\/p\u003e \u003cp\u003eWhat Dashboards Are Telling You: Descriptive Statistics and Correlations 159\u003c\/p\u003e \u003cp\u003eCausation: What Really Drives Performance 161\u003c\/p\u003e \u003cp\u003eBeyond ROI to Optimization 162\u003c\/p\u003e \u003cp\u003eThe Ultimate Goal 164\u003c\/p\u003e \u003cp\u003eWhat Others Think about the Future of Analytics 164\u003c\/p\u003e \u003cp\u003eFinal Thoughts 169\u003c\/p\u003e \u003cp\u003eNotes 169\u003c\/p\u003e \u003cp\u003eAppendix A: Different Levels to Describe Measurement 171\u003c\/p\u003e \u003cp\u003eAppendix B: Getting Your Feet Wet in Data: Preparing and Cleaning the Data Set 181\u003c\/p\u003e \u003cp\u003eAppendix C: Details of Basic Descriptive Statistics 193\u003c\/p\u003e \u003cp\u003eAppendix D: Regression Modeling 199\u003c\/p\u003e \u003cp\u003eAppendix E: Generating Soft Data from Employees 205\u003c\/p\u003e \u003cp\u003eGlossary 209\u003c\/p\u003e \u003cp\u003eAbout the Authors 225\u003c\/p\u003e \u003cp\u003eIndex 227\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eGENE PEASE\u003c\/b\u003e is cofounder and CEO of Capital Analytics, a consultancy revolutionizing the way companies evaluate their investments in people. He has over 25 years' experience as a CEO managing mid-cap and early stage companies. Under his leadership, Capital Analytics has been recognized by Bersin and Associates, \u003ci\u003eCLO Magazine\u003c\/i\u003e, Gartner, and the ROI Institute. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eBOYCE BYERLY, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is cofounder and chief scientist of Capital Analytics. He has more than fifteen years of experience designing and managing pure and applied research projects with high technology firms in the Research Triangle Area of North Carolina. He directed the Capital Analytics team that developed the methodology and the analytical tools that are the core intellectual assets of Capital Analytics. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eJAC FITZ-ENZ, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is widely regarded as the father of human capital strategic analysis and measurement. He founded the famous Saratoga Institute and published the first HR metrics in 1978 and the first international HR benchmarks in 1985. HR World cited him as one of the top five \"HR Management Gurus,\" IHRIM gave him its Chairman's Award for innovation, and SHRM chose him as one of the persons in the twentieth century who \"significantly changed what HR does and how it does it.\" He has authored twelve books and trained 90,000 managers in forty-six countries on strategic management and measurement. His book, \u003ci\u003eThe New HR Analytics\u003c\/i\u003e, introduced predictive analytics to HR.    \u003c\/p\u003e\u003cp\u003e\u003cb\u003eHuman Capital Analytics\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eHow to Harness the Potential of Your Organization's Greatest Asset \u003c\/p\u003e\u003cp\u003eIs your company getting the most out of its human capital? It's time it did—the human resources industry is finally grasping the value of understanding its human capital and evolving from a shepherd's role to one that adds significant strategic value. Find out what's going on with your workforce, how investments affect it, and how to communicate effectively with all parts of the enterprise with the breakthrough guidance found in \u003ci\u003eHuman Capital Analytics\u003c\/i\u003e. \u003c\/p\u003e\u003cp\u003eBuilding upon the work of coauthor Jac Fitz-enz—the father of human analytics—and his book,\u003ci\u003e Human Capital Metrics for the 21st Century\u003c\/i\u003e, this well-researched book applies advanced statistical methodology coupled with today's computing power. It focuses on \u003ci\u003epredictive analytics\u003c\/i\u003e—analytics that not only measure impact but also help optimize and prescribe future investments. This visionary book will inspire you to apply the same tools used to evaluate and improve finance, marketing, and operations investments to human capital investments, with the same rigor. \u003c\/p\u003e\u003cp\u003eHR practitioners have begun to embrace analytics at the same time that organizational leaders are demanding increasing accountability from HR. Filled with case studies from leading global organizations, \u003ci\u003eHuman Capital Analytics\u003c\/i\u003e is the timely, groundbreaking resource that will improve your understanding of the power of optimizing your people investments.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989387722981,"sku":"NP9781118466766","price":63.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118466766.jpg?v=1761783914","url":"https:\/\/k12savings.com\/es\/products\/human-capital-analytics-isbn-9781118466766","provider":"K12savings","version":"1.0","type":"link"}