{"product_id":"predictive-analytics-for-human-resources-isbn-9781118893678","title":"Predictive Analytics for Human Resources","description":"\u003cb\u003eCreate and run a human resource analytics project with confidence\u003c\/b\u003e  \u003cp\u003eFor any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: \"Where do I start?\" and \"What tools are available?\" \u003ci\u003ePredictive Analytics for Human Resources\u003c\/i\u003e is designed to answer these and other vital questions. The book explains the basics of every business—the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications.\u003c\/p\u003e \u003cp\u003e\u003ci\u003ePredictive Analytics for Human Resources\u003c\/i\u003e is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA comprehensive guide to developing and implementing a human resource analytics project\u003c\/li\u003e \u003cli\u003eIllustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling\u003c\/li\u003e \u003cli\u003eExplanations of the ten steps required in building an analytics function\u003c\/li\u003e \u003cli\u003eHow to add value through analysis of systems such as staffing, training, and retention\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eFor anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.\u003c\/p\u003e \u003cp\u003eForeword xiii\u003c\/p\u003e \u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Where’s the Value? 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSome Basics 1\u003c\/p\u003e \u003cp\u003eWhat Is Analytics? 2\u003c\/p\u003e \u003cp\u003eTwo Values 4\u003c\/p\u003e \u003cp\u003eAnalytic Capabilities 4\u003c\/p\u003e \u003cp\u003eAnalytic Value Chain 6\u003c\/p\u003e \u003cp\u003eAnalytic Model 8\u003c\/p\u003e \u003cp\u003eTypical Application 14\u003c\/p\u003e \u003cp\u003eTraining Value Measurement Model 15\u003c\/p\u003e \u003cp\u003eInside the Data 16\u003c\/p\u003e \u003cp\u003eNotes 19\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Getting Started 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGo-to-Market Models 22\u003c\/p\u003e \u003cp\u003eAssessment 23\u003c\/p\u003e \u003cp\u003eDevelopmental Experiences 23\u003c\/p\u003e \u003cp\u003eFinancial Connections 24\u003c\/p\u003e \u003cp\u003eSample Case 26\u003c\/p\u003e \u003cp\u003eFocusing on the Purpose 26\u003c\/p\u003e \u003cp\u003ePresent-Day Needs 28\u003c\/p\u003e \u003cp\u003eHow Human Capital Analytics Is Being Used 29\u003c\/p\u003e \u003cp\u003eTurning Data into Information 30\u003c\/p\u003e \u003cp\u003eThree Value Paths 30\u003c\/p\u003e \u003cp\u003eSolving a Problem 31\u003c\/p\u003e \u003cp\u003eEssential Step 31\u003c\/p\u003e \u003cp\u003ePrime Question 32\u003c\/p\u003e \u003cp\u003eCase in Point 32\u003c\/p\u003e \u003cp\u003ePreparing for an Analytics Unit 33\u003c\/p\u003e \u003cp\u003eTen Steps for an Analytics Unit 35\u003c\/p\u003e \u003cp\u003eStructure and Team Building 36\u003c\/p\u003e \u003cp\u003eDeveloping an Analytics Culture 37\u003c\/p\u003e \u003cp\u003eNotes 37\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 What You Will Need 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDealing with the C Level 40\u003c\/p\u003e \u003cp\u003eBreaking Through 41\u003c\/p\u003e \u003cp\u003eResearch 41\u003c\/p\u003e \u003cp\u003eRecruiting a Sponsor or Champion 42\u003c\/p\u003e \u003cp\u003eMaking the Sale 43\u003c\/p\u003e \u003cp\u003eSelling Example 44\u003c\/p\u003e \u003cp\u003eWorking with Consultants and Coaches 46\u003c\/p\u003e \u003cp\u003eDesigning and Delivering Reports 48\u003c\/p\u003e \u003cp\u003eMaking an Impact 50\u003c\/p\u003e \u003cp\u003eProcess Management 50\u003c\/p\u003e \u003cp\u003ePreparation 52\u003c\/p\u003e \u003cp\u003eNotes 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Data Issues 55\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEfficiency Measures 56\u003c\/p\u003e \u003cp\u003eEffectiveness Measures 61\u003c\/p\u003e \u003cp\u003eBusiness Outcome Measures 67\u003c\/p\u003e \u003cp\u003eNote 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Predictive Statistics Examples 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBegin with the End in Mind 71\u003c\/p\u003e \u003cp\u003eGo Back to the Beginning 74\u003c\/p\u003e \u003cp\u003eWho Owns Data, and Will They Share It? 75\u003c\/p\u003e \u003cp\u003eWhat Will You Do with the Data? 77\u003c\/p\u003e \u003cp\u003eWhat Form Is the Data In? 79\u003c\/p\u003e \u003cp\u003eIs the Data Quality Sufficient? 80\u003c\/p\u003e \u003cp\u003eNote 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Predictive Analytics in Action 83\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFirst Step: Determine the Key Performance Indicators 83\u003c\/p\u003e \u003cp\u003eSecond Step: Analyze and Report the Data 89\u003c\/p\u003e \u003cp\u003eRelationships, Optimization, and Predictive Analytics 96\u003c\/p\u003e \u003cp\u003ePredictive Analytics 97\u003c\/p\u003e \u003cp\u003eInterpreting the Results 102\u003c\/p\u003e \u003cp\u003ePredicting the Future 111\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling 113\u003c\/p\u003e \u003cp\u003eNotes 114\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Predicting the Future of Human Capital Analytics 115\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Does the Future Look Like? 116\u003c\/p\u003e \u003cp\u003eBringing It All Together 126\u003c\/p\u003e \u003cp\u003ePredictive Analytics for HR in Action 126\u003c\/p\u003e \u003cp\u003eNotes 128\u003c\/p\u003e \u003cp\u003eEpilogue 129\u003c\/p\u003e \u003cp\u003eAppendix: Example Measures of Efficiency,\u003c\/p\u003e \u003cp\u003eEffectiveness, and Outcomes 133\u003c\/p\u003e \u003cp\u003eAbout the Authors 135\u003c\/p\u003e \u003cp\u003eIndex 137\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e\u003cb\u003eJAC FITZ-ENZ, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is founder and Chief Executive Officer of Human Capital Source, Inc. He founded the Saratoga Institute in Santa Clara, California after holding human resource positions at several major technology and financial services companies. He is widely regarded as the father of human capital strategic analysis, having published the first HR metrics in 1978 and the first international HR benchmarks in 1985.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eJOHN R. MATTOX II, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is Director of Research at KnowledgeAdvisors. He is a former Associate Director of Performance Management at KPMG, Manager of Learning Effectiveness at PricewaterhouseCoopers, and a Manager at Arthur Andersen.   \u003c\/p\u003e\u003cp\u003e\u003ci\u003ePredictive Analytics for Human Resources\u003c\/i\u003e offers human resource professionals the information and tools they need to harness the power of analytics and determine future outcomes. Written by Jac Fitz-enz (one of the founders of human resources measurement) and John Mattox II, this important resource answers the questions: \"Where do I start?\" and \"What tools are available?\" The book explains the fundamentals of every business—the vision, the brand, and the culture, and shows how predictive analytics supports these basic elements. Fitz-enz and Mattox put the focus on the essentials of predictability and include a framework of logical questions to help set up an analytic program or project. The authors include a clear explanation of statistical applications that will help a human resource project run smoothly.  \u003c\/p\u003e\u003cp\u003eThe book discusses the technology needed to implement and sustain a successful program. And since most programs need support, the authors include suggestions for whom and what can offer support along with rationales provided for each example. Next, Fitz-enz and Mattox describe a typical case of building an analytics project. As this example clearly demonstrates, rather than starting off by asking what to measure, analytics begins with logical questions???statistics come later.  \u003c\/p\u003e\u003cp\u003eWhen building a project, often overlooked is the need for persuasive skills and effective change management. \u003ci\u003ePredictive Analytics for Human Resources\u003c\/i\u003e gets down to the nature of data and examines the critical issues of sources, ownership, and quality. The authors explore how to deal with where it is, who owns it, whether it is valid and reliable, and what forms it comes in. The book then digs deeper into analytics with illustrative examples of regression, correlation, and structural equation modeling.  \u003c\/p\u003e\u003cp\u003eThis vital resource is written for anyone who wants to launch an effective analytics project or program for human resources management.  \u003c\/p\u003e\u003cp\u003e\u003ci\u003ePredictive Analytics for Human Resources\u003c\/i\u003e is a complete guide filled with the vital information and instructions needed to get started on a critical program or project right way. \u003c\/p\u003e\u003cul\u003e \u003cb\u003e\u003cli\u003eIllustrative examples that clearly show how to go to market\u003c\/li\u003e\u003c\/b\u003e \u003cb\u003e\u003cli\u003eDevelop an approach to analytics that will link HR activities to HR outcomes\u003c\/li\u003e\u003c\/b\u003e \u003cb\u003e\u003cli\u003eCritical steps required in building an effective analytics function\u003c\/li\u003e\u003c\/b\u003e \u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989840543973,"sku":"NP9781118893678","price":52.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118893678.jpg?v=1761785643","url":"https:\/\/k12savings.com\/es\/products\/predictive-analytics-for-human-resources-isbn-9781118893678","provider":"K12savings","version":"1.0","type":"link"}