Improving Quality through Data-Driven Insights
This workshop focuses on analyzing quality and reliability data to support continuous improvement initiatives.
Key topics include:
- Quality and reliability concepts and metrics
- Failure and defect data analysis
- Trend analysis and pattern identification using Python
- Linking analytics results to quality improvement actions
- Data limitations and interpretation risks
Key takeaway:
Participants will gain the ability to analyze quality data and support evidence-based quality improvement initiatives.
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