Predictive Analytics for Human Resources.
By: Fitz-enz, Jac.
Contributor(s): Mattox, John.Material type: TextSeries: eBooks on Demand.Wiley and SAS Business Series: Publisher: Hoboken : Wiley, 2014Description: 1 online resource (172 p.).ISBN: 9781118940709.Subject(s): Decision making | Human capital -- Management | Personnel managementGenre/Form: Electronic books.Additional physical formats: Print version:: Predictive Analytics for Human ResourcesDDC classification: 658.3 | 658.301 LOC classification: HF5549 .F559 2014Online resources: Click here to view this ebook.
|Item type||Current location||Call number||URL||Status||Date due||Barcode|
|Electronic Book||UT Tyler Online Online||HF5549 .F559 2014 (Browse shelf)||http://uttyler.eblib.com/patron/FullRecord.aspx?p=1734303||Available||EBL1734303|
Predictive Analytics for Human Resources; Wiley & SAS Business Series; Copyright; 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 ConnectionsSample 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 ReportsReports; 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
CommunicationsFormatting 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 ActionNotes; Epilogue; Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes; About the Authors; Index; End User License Agreement
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
Description based upon print version of record.