␡
- 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
This chapter is from the book
Key Terms
- Analytic Hierarchy Process (AHP)
- Analytics
- Beta Distribution
- Breakeven Analysis
- Continuous Random Variable
- Cost-Benefit Analysis
- Critical Path Method (CPM)
- Customer Relationship Management (CRM)
- Discrete Random Variable
- DMAIC Cycle
- Earned Value Analysis
- Empirical Rule
- Lean Six Sigma
- Net Present Value (NPV)
- Normal Distribution
- NORMDIST
- Payback Period
- PDSA Cycle
- Poisson Distribution
- Program Evaluation and Review Technique (PERT)
- Return on Investment (ROI)
- SIPOC
- Three-Point Estimating
- Triangular Distribution
- Uniform Distribution
- Value Stream Mapping