DATA INSIGHT
ON-DEMAND WEBINAR
Achieve Sustainable, Cost-Effective Solutions with Data-Driven Modeling
In science and engineering, the systems we work with are often complex, with multiple process parameters, interactions, and nonlinear behaviors. When faced with common causes of variation, it’s crucial to adjust these critical process parameters (CPPs) based on their impact on process quality outputs. However, it can be challenging when attempting to analyze each variable’s impact onto critical quality attributes (CQAs) – the outputs of your process – using only simple spreadsheets and univariate graphs.
Data-driven models are a powerful tool to identify important parameters, visualize factor interactions, and find the optimal settings to meet CQAs. With these models, you can gain a deeper understanding of your process behavior to optimize your processes by finding the best combination of factor settings for product quality, cost reduction, and robustness.
In this webinar, learn how to:
- Visualize data: Quickly glean initial insights from your data sets.
- Build interactive models: Identify critical process parameters and assess their impact on quality attributes.
- Optimize solutions: Use models to find optimal combinations of controllable factors and simulate various what-if scenarios.
This webinar is designed for scientists and engineers seeking to make informed decisions through model building – no coding experience required.
About the presenter
Owen Jonathan
Owen Jonathan is a Senior Associate Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software for scientists and engineers. His role involves identifying critical business issues of customers in the UK and guiding them as they adopt data-driven solutions for their organizations. Jonathan has a master’s in systems and synthetic biology from Imperial College London. Prior to becoming an SE, he joined JMP as an intern where he identified design of experiments (DOE) applications in the field of biotechnology and delivered DOE workshops with relevant case studies to synthetic biologists.