CASE STUDY
Toray Industries unlocks new value from data
Industry
Advanced materials
Solution
CAS Custom Services℠
KEY RESULT
MI
Materials informatics driving R&D pipeline
KEY RESULT
↑
Predicitive models validating ideas faster
KEY RESULT
∞
Ongoing partnership wih CAS
The Challenge
Missing data structure slows R&D innovation
As an innovation leader in chemistry, Toray Industries uses materials informatics to extract insights from data and accelerate its R&D pipeline. But as scientists were increasingly tasked with preparing their own datasets, a structural problem emerged. Experimental researchers were spending significant time on data handling, work they weren't trained to do. Managing scientific information carries unique complexity: data formats extend well beyond text and numbers to include chemical structures, physical properties, graphs, and diagrams.
The absence of an underlying data platform compounded the challenge, leaving valuable information locked in silos across the organization. Toray needed a more structured approach to data management. one that would free its scientists to focus on science rather than data wrangling, and lay the foundation for more effective use of materials informatics going forward.
The Solution
A strong data foundation and the expertise to manage it
Toray partnered with CAS for a tailored training program led by CAS scientific and technical experts. The immersive course was designed to educate Toray's research scientists on the core principles of curating and managing data, and how to apply those principles to their specific goals and challenges. Rather than delivering a generic curriculum, CAS engaged in deep consultative discussions with Toray scientists to uncover existing data issues and offer recommendations for data systems suited to their future needs.
The hands-on, personalized nature of the training produced results that went beyond new technical skills, and it prompted a genuine shift in how Toray's scientists think about data. Before the engagement, the team collected every piece of data indiscriminately, with the intention of sorting through it later. Through the training, they developed a more deliberate approach: prioritizing thoughtful data collection over after-the-fact data science. The balance between automation and human judgment in data management also came into sharper focus.
"This deep understanding of scientific information is a big advantage for CAS. We have not been able to learn to manage specialized materials data elsewhere."
— Umi Yamamoto, Ph.D., Senior Research Chemist, Toray Industries
The Outcome
From data bottleneck to predictive R&D engine
Toray scientists once had numerous ideas with no time to test them, but clean, well-structured data now enables the team to build predictive models that efficiently validate or rule out hypotheses before committing resources to experimentation. Through an ongoing partnership with CAS, Toray is positioned to continue leveraging data as a strategic differentiator, building on a foundation that will grow more valuable as the organization's materials informatics capabilities mature.
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