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Modern Management Methods: Lean Kanban North America 2014 has ended
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Thursday, May 8 • 11:00am - 12:30pm
Capturing and Analyzing "Clean" Cycle Time, Lead Time and Throughput Metrics

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On the surface, capturing cycle time and throughput metrics seems easy in a Kanban system or tool. For accurate forecasting and decision-making using this data, we better be sure it is captured accurately and free of contaminated samples. For example, the cycle time or throughput rate for a project team working nights and weekends may not be the best data for forecasting the next project. Another choice we have to make is how we handle large and small outlier samples (extreme high or low). These extreme values may influence a forecast in a positive or negative direction, but which way?


This interactive session will look for the factors attendees have seen that impair data sample integrity and look for ways to identify, minimize and compensate for these errors. The outcome for this session is to understand the major contaminants and to build better intuition and techniques so we have high confidence in our historical data.

Speakers
avatar for Troy Magennis

Troy Magennis

Focused Objective
Troy Magennis has more than 20 years of experience in IT, software engineering, risk management, and quantitative analysis/modeling. He coaches and consults with organizations that want to transition to Agile to improve quality, time-to-market, and value via metric-driven programs... Read More →


Thursday May 8, 2014 11:00am - 12:30pm PDT
Seacliff ABCD

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