| 000 | 09529cam a2200985 i 4500 | ||
|---|---|---|---|
| 001 | ocn881387974 | ||
| 003 | OCoLC | ||
| 005 | 20171224114652.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 140611s2014 nju ob 001 0 eng | ||
| 010 | _a 2014022934 | ||
| 040 |
_aDLC _beng _erda _epn _cDLC _dYDX _dIDEBK _dEBLCP _dN$T _dYDXCP _dDG1 _dDEBSZ _dOCLCF _dSTF _dE7B _dOCLCO _dRECBK _dTEFOD _dUMI _dOCLCQ _dOCLCO _dTEFOD _dCOO _dOCLCO _dB24X7 _dDG1 |
||
| 019 |
_a889305619 _a908199940 _a961583010 _a962702762 |
||
| 020 |
_a9781118940709 _q(electronic bk.) |
||
| 020 |
_a1118940709 _q(electronic bk.) |
||
| 020 |
_a9781118940693 _q(electronic bk.) |
||
| 020 |
_a1118940695 _q(electronic bk.) |
||
| 020 | _a1118893670 | ||
| 020 | _a9781118893678 | ||
| 020 |
_z9781118893678 _q(hardback) |
||
| 020 | _z9781118915042 | ||
| 020 | _z1118915046 | ||
| 029 | 1 |
_aCHBIS _b010259787 |
|
| 029 | 1 |
_aCHVBK _b325942854 |
|
| 029 | 1 |
_aDEBSZ _b410562114 |
|
| 029 | 1 |
_aNZ1 _b15908978 |
|
| 029 | 1 |
_aDEBBG _bBV042739397 |
|
| 029 | 1 |
_aDEBBG _bBV043610944 |
|
| 029 | 1 |
_aDEBBG _bBV042142148 |
|
| 029 | 1 |
_aAU@ _b000054064935 |
|
| 035 |
_a(OCoLC)881387974 _z(OCoLC)889305619 _z(OCoLC)908199940 _z(OCoLC)961583010 _z(OCoLC)962702762 |
||
| 037 |
_a2A778A22-37C4-4D94-907B-0EC410223602 _bOverDrive, Inc. _nhttp://www.overdrive.com |
||
| 042 | _apcc | ||
| 050 | 0 | 0 | _aHF5549 |
| 072 | 7 |
_aBUS _x082000 _2bisacsh |
|
| 072 | 7 |
_aBUS _x041000 _2bisacsh |
|
| 072 | 7 |
_aBUS _x042000 _2bisacsh |
|
| 072 | 7 |
_aBUS _x085000 _2bisacsh |
|
| 082 | 0 | 0 |
_a658.3/01 _223 |
| 084 |
_aBUS019000 _2bisacsh |
||
| 049 | _aMAIN | ||
| 100 | 1 | _aFitz-enz, Jac. | |
| 245 | 1 | 0 |
_aPredictive analytics for human resources / _cJac Fitz-enz, John Mattox, II. |
| 264 | 1 |
_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c2014. |
|
| 300 | _a1 online resource. | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 490 | 1 | _aWiley & SAS business series | |
| 500 | _aIncludes index. | ||
| 520 |
_a"Create and run a human resource analytics project with confidenceFor 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 project Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling Explanations of the ten steps required in building an analytics function How 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"-- _cProvided by publisher. |
||
| 520 |
_a"Predictive Analytics for Human Resources is a comprehensive guide to developing and implementing a human resource analytics project. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, it addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor"-- _cProvided by publisher. |
||
| 500 | _aMachine 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. | ||
| 588 | 0 | _aPrint version record and CIP data provided by publisher. | |
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aTitle; Copyright; Dedication; Foreword; Preface; Chapter 1: Where's the Value?; Some Basics; What Is Analytics?; Two Values; Analytic Capabilities; Analytic Value Chain; Analytic Model; Typical Application; Training Value Measurement Model; Inside the Data; 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 | |
| 505 | 8 | _aCase in PointPreparing 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; 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 | |
| 505 | 8 | _aBegin with the End in MindGo 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?; 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? | |
| 505 | 8 | _aBringing It All TogetherPredictive Analytics for HR in Action; Notes; Epilogue; Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes; About the Authors; Index; End User License Agreement | |
| 650 | 0 | _aPersonnel management. | |
| 650 | 0 |
_aHuman capital _xManagement. |
|
| 650 | 0 | _aDecision making. | |
| 650 | 7 |
_aBUSINESS & ECONOMICS _xDecision-Making & Problem Solving. _2bisacsh |
|
| 650 | 7 |
_aDecision making. _2fast _0(OCoLC)fst00889035 |
|
| 650 | 7 |
_aHuman capital _xManagement. _2fast _0(OCoLC)fst00962888 |
|
| 650 | 7 |
_aPersonnel management. _2fast _0(OCoLC)fst01058797 |
|
| 655 | 4 | _aElectronic books. | |
| 655 | 0 | _aElectronic books. | |
| 700 | 1 |
_aMattox, John, _d1971- |
|
| 776 | 0 | 8 |
_iPrint version: _aFitz-enz, Jac. _tPredictive analytics for human resources. _dHoboken, New Jersey : Wiley, 2014 _z9781118893678 _w(DLC) 2014013430 |
| 830 | 0 | _aWiley and SAS business series. | |
| 856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118915042 _zWiley Online Library |
| 938 |
_aEBL - Ebook Library _bEBLB _nEBL4040056 |
||
| 938 |
_aEBL - Ebook Library _bEBLB _nEBL1734303 |
||
| 938 |
_aebrary _bEBRY _nebr10892221 |
||
| 938 |
_aEBSCOhost _bEBSC _n812792 |
||
| 938 |
_aIngram Digital eBook Collection _bIDEB _ncis28648051 |
||
| 938 |
_aRecorded Books, LLC _bRECE _nrbeEB00591944 |
||
| 938 |
_aYBP Library Services _bYANK _n11976042 |
||
| 938 |
_aYBP Library Services _bYANK _n11632348 |
||
| 938 |
_aYBP Library Services _bYANK _n12677764 |
||
| 938 |
_aBooks 24x7 _bB247 _nbkb00063688 |
||
| 994 |
_a92 _bDG1 |
||
| 999 |
_c13545 _d13545 |
||