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Procter & Gamble and Michelin: Glean and visualize more insight from your data
"Using simulation data, we have developed a 3D plot which included three ingredients. This has helped us find out that a group of formula had both reasonable high performance and stable products. We have generated a successful formula within three months. This is three times faster than our normal formula design." - Zhiwu Liang (Procter & Gamble)
Gaining skills around a multistage process of turning data into useful insights is key. In this video, see how interactive, no-code analytics enable any scientist or engineer to turn data into insights with a combination of data preparation, exploration, and statistical modelling. There is also a discussion around the integration of dynamic visualization with modelling.
Key takeaways:
- How to uncover and tell the story in your data.
- How you can exploit data-driven methods and algorithms with simple, interactive visuals.
- The importance of using your domain knowledge, experience, and intuition alongside data-driven methods.
Presenter
Zhiwu Liang, Principal Statistician
Procter & Gamble
Discusses data preparation and visualisation in product development.
Florent Mathieu
Process R&D Engineer Michelin
Explains how to use modeling in process development.
Marco Salfi
Senior Systems Engineer at JMP
Demonstrates how the integration of data preparation, exploratory data analysis and modeling are used in the production process.