A leading specialty chemicals and materials organization needed a scalable solution to manage complex, non-standard experimental data across diverse research teams. Decades of manual, macro-based workflows had led to delays, inconsistencies, and limited data reuse. By deploying Dotmatics Luma and Luma Lab Connect, the company streamlined its data processing, standardized outputs, and empowered scientists with flexible, low-code analytics.
Key Outcomes:
Faster Decision-Making: Visual workflows and automated analysis cut turnaround time by up to 80% for application teams and 10% for test teams.
Standardized, Reusable Data: Consistent outputs and contextualized metadata improved trust, traceability, and cross-team collaboration.
Operational Scalability: SaaS-native infrastructure and low-code tools allowed internal experts to configure and evolve data workflows independently.
Enhanced Transparency: Visual, no-code pipelines replaced black-box scripting, enabling broader insight into experimental processes.
With Dotmatics, the organization proved that even highly specialized materials data can be standardized, automated, and scaled—driving smarter, faster innovation across R&D.
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