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Read it here: jmp.com/jotun The recording is also available on JMP's YouTube channel.
We’re excited to announce the release of a new customer success story highlighting how Jotun, a global leader in intumescent protective paints and coatings, is leveraging JMP to transform its fire-protective coatings R&D.
This story is a strong example of how JMP helps empower innovation in highly specialized industries, making advanced analytics accessible to R&D teams and delivering measurable business impact.
Innovating fire-protective coatings: Jotun’s data-driven R&D
Story Summary
Jotun develops intumescent coatings used on structural steel in high-risk environments. Using Design of Experiments (DOE), Functional Data Explorer, and 3D visualization tools in JMP, the Jotun R&D team has optimized formulations faster, reduced physical testing requirements, and deepened stakeholder understanding through dynamic visual analytics. The result: more confident decision-making, reduced testing costs, and smarter R&D outcomes.
Key Takeaways
- Accelerated Formulation Optimization
Jotun uses Design of Experiments (DOE) in JMP to optimize product formulations not just for fire performance, but also cost and other coating properties, all without requiring deep statistical expertise.
- Reduced Physical Testing with Simulations
JMP allowed Jotun to simulate 10,000 data points, replacing the need for many expensive physical fire tests.
- Improved Communication and Stakeholder Confidence
3D scatterplots and dynamic visualizations make results more accessible and understandable to cross-functional teams and stakeholders.
- Advanced Data Analysis Made Accessible
Tools like Functional Data Explorer helped simplify and reduce high-dimensional data, improving insights while preserving core analysis accuracy.
Returns on Investment (ROI)
- £40,000+ in cost savings through reduced fire testing needs.
- Increase in testing capacity by optimizing furnace usage through data-driven insights.
- Substantial time savings by replacing manual, single-factor testing with efficient DOE-based workflows.
- Increased R&D confidence and product performance through deeper formulation understanding.
Keywords
- Design of Experiments (DOE)
- Functional Data Explorer
- 3D data visualization
- Data-driven R&D
- Predictive modeling
