Data-Driven Project Management: Project Metrics That Matter

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

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