Tag: manufacturing

When it comes to FAIR life sciences data, keeping meaning and detail attached to pharmaceutical data supports trusted reuse across R&D, technology transfer and CDMO operations. Semantic harmonization can preserve source detail, add semantic context and relate different worlds without flattening them. Progress Data Platform helps connect complex data, documents and domain knowledge so information remains findable, reusable and trustworthy across teams, systems and partners.

Discover how Progress Data Platform connects fragmented manufacturing data to support smarter decisions, stronger traceability and AI grounded in business context.

Manufacturers have plenty of data, but disconnected systems limit traceability, decision-making and AI success. Learn how connected intelligence bridges the gap.

Manufacturers need reliable data flows to keep operations moving, so modern file transfers are pivotal for keeping business in gear.

An international build-to-order manufacturer, dealing with data silos from mergers and acquisitions, integrated years of parts and cost data into a single, shared data hub. This system allows for easy reconciliation, comparison and benchmarking of parts across different plants. Despite maintaining their own identification processes, groups can now match parts lists, identify identical or similar parts for the same function and choose the best-cost options.