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Predictive analytics for human resources / / Jac Fitz-enz, John R. Mattox, II
| Predictive analytics for human resources / / Jac Fitz-enz, John R. Mattox, II |
| Autore | Fitz-enz Jac |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hobokjen, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (172 p.) |
| Disciplina | 658.3/01 |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Personnel management
Human capital - Management Decision making |
| ISBN |
1-118-94069-5
1-118-91504-6 1-118-94070-9 |
| Classificazione | BUS019000 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Foreword Preface Chapter 1: Where's The Value? Some Basics What Is Analytics? Two Values Analytic Capabilities Analytic Value Chain The Analytic Model A Typical Application Training Value Measurement Model Inside The Data Notes Chapter 2: Getting Started Go-to-Market Models Assessment Developmental Experiences Financial Connections A 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 An Essential Step The Prime Question A 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 A Selling Example Working with Consultants and Coaches Designing and Delivering Reports Making an Impact Process Management Preparation Notes Chapter 4: Data Issues Efficiency Measures Effectiveness Measures Business Outcome Measures Note Chapter 5: Predictive Statistics Examples Begin with the End in Mind Go Back to the Beginning Who Owns It and Will They Share It? What Will You Do with It? What Form Is It In? Is There Sufficient Quality? Note Chapter 6: Predictive Analytics in Action First Step: Determine the Key Performance Indicators Second Step: Analyze and Report the Data Relationships, Optimization, and Predictive Analytics Predictive Analytics Interpreting the Results Predicting the Future Structural Equation Modeling Notes Chapter 7: Predicting the Future of Human Capital Analytics What Does the Future Look Like? Bringing It All Together What Does the Future Look Like? Notes Epilogue Appendix: Example Measures of Efficiency Effectiveness and Outcomes About the Authors Index . |
| Record Nr. | UNINA-9910132201703321 |
Fitz-enz Jac
|
||
| Hobokjen, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Predictive analytics for human resources / / Jac Fitz-enz, John R. Mattox, II
| Predictive analytics for human resources / / Jac Fitz-enz, John R. Mattox, II |
| Autore | Fitz-enz Jac |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hobokjen, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (172 p.) |
| Disciplina | 658.3/01 |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Personnel management
Human capital - Management Decision making |
| ISBN |
1-118-94069-5
1-118-91504-6 1-118-94070-9 |
| Classificazione | BUS019000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Foreword Preface Chapter 1: Where's The Value? Some Basics What Is Analytics? Two Values Analytic Capabilities Analytic Value Chain The Analytic Model A Typical Application Training Value Measurement Model Inside The Data Notes Chapter 2: Getting Started Go-to-Market Models Assessment Developmental Experiences Financial Connections A 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 An Essential Step The Prime Question A 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 A Selling Example Working with Consultants and Coaches Designing and Delivering Reports Making an Impact Process Management Preparation Notes Chapter 4: Data Issues Efficiency Measures Effectiveness Measures Business Outcome Measures Note Chapter 5: Predictive Statistics Examples Begin with the End in Mind Go Back to the Beginning Who Owns It and Will They Share It? What Will You Do with It? What Form Is It In? Is There Sufficient Quality? Note Chapter 6: Predictive Analytics in Action First Step: Determine the Key Performance Indicators Second Step: Analyze and Report the Data Relationships, Optimization, and Predictive Analytics Predictive Analytics Interpreting the Results Predicting the Future Structural Equation Modeling Notes Chapter 7: Predicting the Future of Human Capital Analytics What Does the Future Look Like? Bringing It All Together What Does the Future Look Like? Notes Epilogue Appendix: Example Measures of Efficiency Effectiveness and Outcomes About the Authors Index . |
| Record Nr. | UNINA-9910809954003321 |
|
Fitz-enz Jac
|
||
| Hobokjen, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||