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LinkedIn Learning

Data-Driven Project Management: Project Metrics That Matter

via LinkedIn Learning

Overview

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Get a complete overview of the project metrics that you can use to support data-driven decisions.

Syllabus

Introduction
  • What is data-driven project management?
  • Selecting project metrics that matter
1. Collecting and Analyzing Business and Work Data
  • Business metrics: Net present value
  • More business metrics
  • Work metrics
2. Collecting and Analyzing Schedule Metrics
  • Schedule metrics for agile management: Velocity and burn charts
  • Schedule metrics for agile management: Cumulative flow diagrams
  • Schedule metrics for critical path management
3. Collecting and Analyzing Cost and Resource Data
  • Cost metrics: Introduction to earned value management
  • Earned value metrics: Schedule variances and indexes
  • Earned value metrics: Cost variances and indexes
  • Resource metrics for cost performance
4. Forecasting Metrics
  • Cost forecasting with earned value metrics
  • Schedule forecasting
5. Collecting and Analyzing Risk Data
  • Risk metrics: Risks and impediments
  • Risk metrics: Expected monetary value and decision trees
  • Risk metrics: Establishing and managing risk reserve
6. Other Data Considerations
  • Qualitative measures for stakeholder satisfaction
  • Best practices for sharing data
  • Avoiding three measurement pitfalls
Conclusion
  • MoSCoW for data-driven project management

Taught by

Cyndi Snyder Dionisio

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