Cover image for Predictive Analytics for Human Resources.
Predictive Analytics for Human Resources.
Title:
Predictive Analytics for Human Resources.
Author:
Fitz-enz, Jac.
ISBN:
9781118940709
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (172 pages)
Series:
Wiley and SAS Business Series
Contents:
Predictive Analytics for Human Resources -- Copyright -- Wiley & SAS Business Series -- Contents -- Foreword -- Preface -- Measurement and Analytics -- Analytics and the New Work Model -- Valuation -- Book Structure: How to Do It -- Chapter 1: Where's the Value? -- Some Basics -- What Is Analytics? -- Two Values -- Analytic Capabilities -- Analytic Value Chain -- Analytic Model -- Organizing -- Displaying -- Relating -- Modeling -- Evaluating -- Typical Application -- Training Value Measurement Model -- Inside the Data -- Standards -- Intangibles -- Notes -- Chapter 2: Getting Started -- Go-to-Market Models -- Assessment -- Developmental Experiences -- Financial Connections -- Sample Case -- Focusing on the Purpose -- Present-Day Needs -- How Human Capital Analytics Is Being Used -- Turning Data into Information -- Three Value Paths -- Solving a Problem -- Essential Step -- Prime Question -- Case in Point -- Preparing for an Analytics Unit -- Ten Steps for an Analytics Unit -- Structure and Team Building -- Developing an Analytics Culture -- Notes -- Chapter 3: What You Will Need -- Dealing with the C Level -- Breaking Through -- Research -- Recruiting a Sponsor or Champion -- Making the Sale -- Selling Example -- Working with Consultants and Coaches -- Coaches -- Designing and Delivering Reports -- Reports -- Analysis -- Making an Impact -- Process Management -- Preparation -- Notes -- Chapter 4: Data Issues -- Efficiency Measures -- Effectiveness Measures -- Results and Interpretation -- Business Outcome Measures -- Business Outcomes -- Notes -- Chapter 5: Predictive Statistics Examples -- Begin with the End in Mind -- Go Back to the Beginning -- Who Owns Data, and Will They Share It? -- What Will You Do with the Data? -- What Form Is the Data In? -- Is the Data Quality Sufficient? -- Notes -- Chapter 6: Predictive Analytics in Action.

First Step: Determine the Key Performance Indicators -- Communications -- Formatting the Data for Analysis -- Second Step: Analyze and Report the Data -- Relationships, Optimization, and Predictive Analytics -- Predictive Analytics -- Interpreting the Results -- Correlation -- Multiple Linear Regression -- Interpretation/Action -- Predicting the Future -- Structural Equation Modeling -- Notes -- Chapter 7: Predicting the Future of Human Capital Analytics -- What Does the Future Look Like? -- Finance: Business Standards and Valuation of Organizations -- Mathematics: Chaos Theory -- Information Technology: Big Data -- Automated Processes: Decision Support -- Bringing It All Together -- Predictive Analytics for HR in Action -- Notes -- Epilogue -- Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes -- About the Authors -- Index -- End User License Agreement.
Abstract:
Create and run a human resource analytics project with confidence For 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?" Predictive Analytics for Human Resources 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. Predictive Analytics for Human Resources 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:A comprehensive guide to developing and implementing a human resource analytics projectIllustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modelingExplanations of the ten steps required in building an analytics functionHow to add value through analysis of systems such as staffing, training, and retention For 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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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