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- Level:
- Duration: 01h 18m
- Release date: 2021-11-30
- Author: Cyndi Snyder Dionisio
- Provider: LinkedIn
Data-Driven Project Management: Project Metrics That Matter
Description
Content
- Introduction04m 54s
- What is data-driven project management?01m 28s
- Selecting project metrics that matter03m 26s
- 1. Collecting and Analyzing Business and Work Data14m 54s
- Business metrics: Net present value06m 44s
- More business metrics04m 18s
- Work metrics03m 52s
- 2. Collecting and Analyzing Schedule Metrics09m 48s
- Schedule metrics for agile management: Velocity and burn charts03m 13s
- Schedule metrics for agile management: Cumulative flow diagrams04m 22s
- Schedule metrics for critical path management02m 13s
- 3. Collecting and Analyzing Cost and Resource Data18m 14s
- Cost metrics: Introduction to earned value management04m 17s
- Earned value metrics: Schedule variances and indexes04m 54s
- Earned value metrics: Cost variances and indexes04m 24s
- Resource metrics for cost performance04m 39s
- 4. Forecasting Metrics08m 55s
- Cost forecasting with earned value metrics05m 20s
- Schedule forecasting03m 35s
- 5. Collecting and Analyzing Risk Data11m 12s
- Risk metrics: Risks and impediments03m 08s
- Risk metrics: Expected monetary value and decision trees03m 55s
- Risk metrics: Establishing and managing risk reserve04m 09s
- 6. Other Data Considerations08m 51s
- Qualitative measures for stakeholder satisfaction02m 43s
- Best practices for sharing data02m 29s
- Avoiding three measurement pitfalls03m 39s
- Conclusion01m 52s
- MoSCoW for data-driven project management01m 52s
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