Cambridge Semantics
11 Case Studies
A Cambridge Semantics Case Study
A leading petrochemical manufacturer faced significant delays in bringing new products to market due to its critical research data being trapped in isolated silos, including various laboratory notebooks, management systems, and legacy databases. This incomplete data access hampered decision-making for scientists and engineers. To address this, the company selected Cambridge Semantics and implemented its Anzo data integration platform to create a unified scientific research portal.
The Cambridge Semantics Anzo solution applied a semantic, graph data model to connect and blend six disparate data sources, transforming them into a cohesive data fabric. This enabled researchers to perform ad hoc queries across previously siloed information, asking complex, cross-functional questions to identify sustainable products and prioritize new materials. The outcome was a facilitated new level of knowledge transfer and decision-making, with the company expecting to expedite time-to-market for new innovations.
Leading Petrochemical Manufacturer