Project management analytics : a data-driven approach to making rational and effective project decisions /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Singh, Harjit (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Old Tappan, New Jersey : Pearson Education, [2016]
Temas:
Project management.
Data mining.
Management.
Gestion de projet.
Exploration de données (Informatique)
Gestion.
management.
BUSINESS & ECONOMICS / Industrial Management
BUSINESS & ECONOMICS / Management
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Organizational Behavior
Data mining
Management
Project management
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Machine generated contents note: ch. 1 Project Management Analytics
  • What Is Analytics?
  • Why Is Analytics Important in Project Management?
  • How Can Project Managers Use Analytics in Project Management?
  • Project Management Analytics Approach
  • Summary
  • Key Terms
  • Case Study: City of Medville Uses Statistical Approach to Estimate Costs for Its Pilot Project
  • Case Study Questions
  • Chapter Review and Discussion Questions
  • Bibliography
  • ch. 2 Data-Driven Decision-Making
  • Characteristics of a Good Decision
  • Decision-Making Factors
  • Importance of Decisive Project Managers
  • Automation and Management of the Decision-Making Process
  • Data-Driven Decision-Making
  • Data-Driven Decision-Making Process Challenges
  • Garbage In, Garbage Out
  • Summary
  • Key Terms
  • Case Study: Kheri Construction, LLC
  • Case Study Questions
  • Chapter Review and Discussion Questions
  • Bibliography
  • ch. 3 Project Management Framework
  • What Is a Project?
  • Note continued: How Is a Project Different from Operations?
  • Project versus Program versus Portfolio
  • Project Management Office (PMO)
  • Project Life Cycle (PLC)
  • Project Management Life Cycle (PMLC)
  • A Process within the PMLC
  • Work Breakdown Structure (WBS)
  • Systems Development Life Cycle (SDLC)
  • Summary
  • Key Terms
  • Case Study: Life Cycle of a Construction Project
  • Case Study Questions
  • Chapter Review and Discussion Questions
  • Bibliography
  • ch. 4 Chapter Statistical Fundamentals I: Basics and Probability Distributions
  • Statistics Basics
  • Probability Distribution
  • Mean, Variance, and Standard Deviation of a Binomial Distribution
  • Poisson Distribution
  • Normal Distribution
  • Confidence Intervals
  • Summary
  • Key Terms
  • Solutions to Example Problems
  • Chapter Review and Discussion Questions
  • Bibliography
  • ch. 5 Statistical Fundamentals II: Hypothesis, Correlation, and Linear Regression
  • What Is a Hypothesis?
  • Note continued: Statistical Hypothesis Testing
  • Rejection Region
  • The z-Test versus the t-Test
  • Correlation in Statistics
  • Linear Regression
  • Predicting y-Values Using the Multiple Regression Equation
  • Summary
  • Key Terms
  • Solutions to Example Problems
  • Chapter Review and Discussion Questions
  • Bibliography
  • ch. 6 Analytic Hierarchy Process
  • Using the AHP
  • AHP Pros and Cons
  • Summary
  • Key Terms
  • Case Study: Topa Technologies Uses the AHP to Select the Project Manager
  • Conclusion
  • Case Questions
  • Chapter Review and Discussion Questions
  • Bibliography
  • ch. 7 Lean Six Sigma
  • What Is Lean Six Sigma?
  • How LSS Can Improve the Status Quo
  • Lean Six Sigma Tools
  • Summary
  • Key Terms
  • Case Study: Ropar Business Computers (RBC) Implements a Lean Six Sigma Project to Improve Its Server Test Process
  • Select PDSA Cycles Explained
  • Case Questions
  • Chapter Review and Discussion Questions
  • Bibliography
  • Note continued: ch. 8 Statistical Applications in Project Management
  • Statistical Tools and Techniques for Project Management
  • Probability Theory
  • Probability Distributions
  • Central Limit Theorem
  • Critical Path Method (CPM)
  • Critical Chain Method (CCM)
  • Program Evaluation and Review Technique (PERT)
  • Graphical Evaluation and Review Technique (GERT)
  • Correlation and Covariance
  • Predictive Analysis: Linear Regression
  • Confidence Intervals: Prediction Using Earned Value Management (EVM) Coupled with Confidence Intervals .
  • Earned Value Management (EVM)
  • Summary
  • Key Terms
  • Chapter Review and Discussion Questions
  • Bibliography
  • ch. 9 Project Decision-Making with the Analytic Hierarchy Process (AHP)
  • Project Evaluation and Selection
  • More Applications of the AHP in Project Management
  • Summary
  • Key Terms
  • Chapter Review and Discussion Questions
  • Bibliography
  • ch. 10 Lean Six Sigma Applications in Project Management
  • Note continued: Common Project Management Challenges and LSS Remedies
  • Project Management with Lean Six Sigma (PMLSS)-A Synergistic Blend
  • PMLC versus LSS DMAIC Stages
  • How LSS Tools and Techniques Can Help in the PMLC or the PMBOK4 Process Framework
  • The Power of LSS Control Charts
  • Agile Project Management and Lean Six Sigma
  • Role of Lean Techniques in Agile Project Management
  • Role of Six Sigma Tools and Techniques in the Agile Project Management
  • Lean PMO: Using LSS's DMEDI Methodology to Improve the PM0
  • Summary
  • Key Terms
  • Case Study: Implementing the Lean PMO
  • Case Questions
  • Chapter Review and Discussion Questions
  • Bibliography
  • Appendix A z-Distribution
  • Appendix B t-Distribution
  • Appendix C Binomial Probability Distribution (From n = 2 to n = 10).

Ejemplares similares