Supporting Lifecycle Decisions with Data
This workshop introduces practical data analytics techniques using Python to support decision-making across the product lifecycle.
Key topics include:
- Types of data across the product lifecycle
- Data preparation and exploratory analysis with Python
- Descriptive and diagnostic analytics for PLM
- Interpreting analytical results for managerial decisions
- Limitations and data quality considerations
Key takeaway:
Participants will be able to use Python-based analytics to extract insights from lifecycle data and support PLM decisions.
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