Date and Time:
17th Dec. 2020 – 4 PM CET | 9 AM CST
Implementing Manufacturing Data Analytics solution need a layered and guided approach to realize ‘Return on Analytics’ (ROA) before investing big dollars. This analytics e-meet is focused how to approach advanced analytics by using Python/Jupyter notebook, methods and best practices to work on process (time-series) data and advanced visualization. The session will showcase prevalent prerequisites and use cases such as statistical inference on process variability, correlation /deterministic analysis, significance testing and model building, etc. The data science / analyst team would get the insights into Advanced Data Analytics templatization.
Meet our experts and get insights into:
- Approach: Process Data Mapping and Representation - Prerequisites
- Methods: How to templatizeRoot Cause Analysis, Predictive Analytics, Performance Analysis, Model Building and Fingerprint of a Process, Visual Analytics
- Solutions: Advanced Visualization, Deployment of Python model, Integration with Analytic Solutions
Who should attend:
- Process R&D Heads
- Production / Operations Head
- Maintenance Heads
- Plant heads
- Technology leaders
- Data Science leaders
- Data Analysts
To view the recorded session of this e-Meet email us at analytics@tridiagonal.com and we will email you the link.
