Autore	Pease Gene <1950->
Edizione	[1st edition]
Pubbl/distr/stampa	Hoboken, N.J., : Wiley, c2013
Descrizione fisica	1 online resource (252 p.)
Disciplina	658.3 658.301
Altri autori (Persone)	ByerlyBoyce <1962-> Fitz-enzJac
Collana	Wiley & SAS business series
Soggetto topico	Human capital Personnel management
Soggetto genere / forma	Electronic books.
ISBN	1-119-20505-0 1-283-66508-5 1-118-50697-9
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	""Human Capital Analytics: How to Harness the Potential of Your Organization's Greatest Asset""; ""Copyright""; ""Contents""; ""Preface""; ""Acknowledgments""; ""Introduction Realizing the Dream: From Nuisance to Necessity""; ""Starting from the Back Row""; ""The Value Dream""; ""Barriers in the Human Resource Area""; ""Organizations are all about People, Not Things""; ""Managing Risk""; ""Historic Fundamentals""; ""Intangibles""; ""Predictability""; ""Need for Definition""; ""Breakthrough""; ""Practicality""; ""Analytics Model Foundation""; ""Awakening""; ""Notes"" ""Chapter 1: Human Capital Analytics""""Human Capital Analytics Continuum""; ""Summary""; ""Notes""; ""Chapter 2: Alignment""; ""The Stakeholder Workshop: Creating the Right Climate for Alignment""; ""Aligning Stakeholders""; ""Who Are Your Stakeholders?""; ""What Should You Accomplish in a Stakeholder Meeting?""; ""Deciding What to Measure with Your Stakeholders""; ""Leading Indicators""; ""Business Impact""; ""Assigning Financial Values to ""Intangibles""""; ""Defining Your Participants""; ""Summary""; ""Notes""; ""Chapter 3: The Measurement Plan""; ""Defining the Intervention(s)"" ""Measurement Map""""Hypotheses or Business Questions""; ""Defining the Metrics""; ""Demographics""; ""Data Sources and Requirements""; ""Summary""; ""Note""; ""Chapter 4: It's All about the Data""; ""Types of Data""; ""Tying Your Data Sets Together""; ""Difficulties in Obtaining Data""; ""Ethics of Measurement and Evaluation""; ""Telling the Truth""; ""Summary""; ""Notes""; ""Chapter 5: What Dashboards Are Telling You: Descriptive Statistics and Correlations""; ""Descriptive Statistics""; ""Going Graphic with the Data""; ""Data over Time""; ""Descriptive Statistics on Steroids"" ""Correlation Does Not Imply Causation""""Summary""; ""Notes""; ""Chapter 6: Causation: What Really Drives Performance""; ""Can You Create Separate Test and Control Groups?""; ""Are There Observable Differences?""; ""Did You Consider Prior Performance?""; ""Did You Consider Time-Related Changes?""; ""Did You Look at the Descriptive Statistics?""; ""Have You Considered the Relationship between the Metrics?""; ""A Gentle Introduction to Statistics""; ""Basic Ideas behind Regression""; ""Model Fit and Statistical Significance""; ""Summary""; ""Notes""; ""Chapter 7: Beyond ROI to Optimization"" ""Optimization""""Segmentation""; ""Mixture""; ""Saturation""; ""Metric Interaction""; ""Time Line""; ""Summary""; ""Notes""; ""Chapter 8: Share the Story""; ""Presenting the Financials""; ""Telling the Story and Adding Up the Numbers""; ""Preparing for the Meetings""; ""Summary""; ""Notes""; ""Chapter 9: Conclusion""; ""Human Capital Analytics""; ""Alignment""; ""The Measurement Plan""; ""It's All about the Data""; ""What Dashboards Are Telling You: Descriptive Statistics and Correlations""; ""Causation: What Really Drives Performance""; ""Beyond ROI to Optimization""; ""The Ultimate Goal"" ""What Others Think about the Future of Analytics""
Record Nr.	UNINA-9910141403003321

Autore	Pease Gene <1950->
Edizione	[1st edition]
Pubbl/distr/stampa	Hoboken, New Jersey : , : Wiley, , 2015
Descrizione fisica	1 online resource (226 p.)
Disciplina	658.3/01
Soggetto topico	Manpower planning Human capital - Management Personnel management Big data
ISBN	1-119-03982-7 1-119-04000-0 1-119-03997-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Cover; Title Page; Copyright; Contents; Foreword; Preface; Acknowledgments; Chapter 1 The Need for Measurement in a Changing Environment; Analytics Give Companies a Competitive Edge; Everybody's Doing It; Transcending Borders; Slim Down, Do More; Everybody Wins; Changing Workforce; Who's Working Today?; Baby Boomers; Generation X; Millennials; Generation Z; How Are Employers Responding to Generation Z?; The Boomers Are Still Here; What about Generation X?; So Now What?; Notes; Chapter 2 What Exactly Is Predictive Analytics, and Why Is It Useful?; Workforce Planning; Workforce Optimization What Can Analytics Do for You? Using Macroeconomic Data at Wells Fargo; Retention and Recruiting; Diversity and Inclusion; Reducing Turnover with Unstructured Data; Notes; Chapter 3 The State of Human Capital Analytics; Profiling the Early Adopters; Who, What, Where; What They Measure; How They Measure; How They Socialize Findings; Barriers and Key Enablers to Success; Notes; Chapter 4 From Data to Action; The Continuum of Analytics; Anecdotes; Scorecards and Dashboards; Benchmarks; Correlations; Causation; Predictive Analysis; Optimization; Taking Action; Alignment of Stakeholders Alignment to Business Goals Designing the Study; Conducting the Study; Other Differentiators; On-the-Job Performance Data; Results Aren't Self-Reported; Impact Is Data-Driven and Evidence-Based; Know Where and How to Improve; Notes; Chapter 5 The Big Data Conundrum; Death by Dashboard; What to Do; Descriptive Analysis; How Much Data Is Big?; Ethics and Other Considerations; The Career Perspective; The New Art of HR; Big Data: Passing Trend or Here to Stay?; Notes; Chapter 6 The Future of Talent Investments; Tools and Technology; Talent Acquisition and Management; Learning Customization The Future Workforce Notes; Appendix A 2014 Human Capital Analytics Study (Making Human Capital Analytics Work): October 2014; Quick Facts; Purpose and Overview of the Study; The Organization, Structure, and Operation of Human Capital Analytics Practice; Project Selection Types and Use of Analytics; Maturity, Progress, and Success; Summary; Appendix B Driving Talent Development with Data; Introduction; Understanding Human Capital Analytics; The Human Capital Analytics Continuum; How to Start a Measurement Strategy; Step 1: Drive Alignment with Business Goals Step 2: Establish Business Measures of Success Step 3: Guide the Development of Content That's Aligned with Business Needs; Step 4: Provide In-process Measures for Continuous Improvement; Step 5: Prove and Improve; When Human Capital Analytics Pay Off; Conclusion; Sources; Appendix C Training Case Studies; ACS: Analysis of a Call Center Agent Turnover; Background; Goal of Learning Initiatives; Research Design; Research Methodology; Results: Business Impact of Learning; Does Supervisor Training Improve Agent Retention?; Chrysler LLC: Sales Consultant Training; Background; Learning Intervention Business Impact
Record Nr.	UNINA-9910131490103321

Autore	Pease Gene <1950->
Edizione	[1st edition]
Pubbl/distr/stampa	Hoboken, New Jersey : , : Wiley, , 2015
Descrizione fisica	1 online resource (226 p.)
Disciplina	658.3/01
Soggetto topico	Manpower planning Human capital - Management Personnel management Big data
ISBN	1-119-03982-7 1-119-04000-0 1-119-03997-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Cover; Title Page; Copyright; Contents; Foreword; Preface; Acknowledgments; Chapter 1 The Need for Measurement in a Changing Environment; Analytics Give Companies a Competitive Edge; Everybody's Doing It; Transcending Borders; Slim Down, Do More; Everybody Wins; Changing Workforce; Who's Working Today?; Baby Boomers; Generation X; Millennials; Generation Z; How Are Employers Responding to Generation Z?; The Boomers Are Still Here; What about Generation X?; So Now What?; Notes; Chapter 2 What Exactly Is Predictive Analytics, and Why Is It Useful?; Workforce Planning; Workforce Optimization What Can Analytics Do for You? Using Macroeconomic Data at Wells Fargo; Retention and Recruiting; Diversity and Inclusion; Reducing Turnover with Unstructured Data; Notes; Chapter 3 The State of Human Capital Analytics; Profiling the Early Adopters; Who, What, Where; What They Measure; How They Measure; How They Socialize Findings; Barriers and Key Enablers to Success; Notes; Chapter 4 From Data to Action; The Continuum of Analytics; Anecdotes; Scorecards and Dashboards; Benchmarks; Correlations; Causation; Predictive Analysis; Optimization; Taking Action; Alignment of Stakeholders Alignment to Business Goals Designing the Study; Conducting the Study; Other Differentiators; On-the-Job Performance Data; Results Aren't Self-Reported; Impact Is Data-Driven and Evidence-Based; Know Where and How to Improve; Notes; Chapter 5 The Big Data Conundrum; Death by Dashboard; What to Do; Descriptive Analysis; How Much Data Is Big?; Ethics and Other Considerations; The Career Perspective; The New Art of HR; Big Data: Passing Trend or Here to Stay?; Notes; Chapter 6 The Future of Talent Investments; Tools and Technology; Talent Acquisition and Management; Learning Customization The Future Workforce Notes; Appendix A 2014 Human Capital Analytics Study (Making Human Capital Analytics Work): October 2014; Quick Facts; Purpose and Overview of the Study; The Organization, Structure, and Operation of Human Capital Analytics Practice; Project Selection Types and Use of Analytics; Maturity, Progress, and Success; Summary; Appendix B Driving Talent Development with Data; Introduction; Understanding Human Capital Analytics; The Human Capital Analytics Continuum; How to Start a Measurement Strategy; Step 1: Drive Alignment with Business Goals Step 2: Establish Business Measures of Success Step 3: Guide the Development of Content That's Aligned with Business Needs; Step 4: Provide In-process Measures for Continuous Improvement; Step 5: Prove and Improve; When Human Capital Analytics Pay Off; Conclusion; Sources; Appendix C Training Case Studies; ACS: Analysis of a Call Center Agent Turnover; Background; Goal of Learning Initiatives; Research Design; Research Methodology; Results: Business Impact of Learning; Does Supervisor Training Improve Agent Retention?; Chrysler LLC: Sales Consultant Training; Background; Learning Intervention Business Impact
Record Nr.	UNINA-9910824829903321