Cambridge Semantics is a provider of modern, graph-driven data integration. The company's Anzo provides a modern, graph-driven data integration platform to connect and bring meaning to all enterprise data and enable virtually anyone in an organization—from skilled data scientists to novice business users—to develop analytics-ready datasets that combine any data from any system across the enterprise.

Through this multi-year agreement, Cambridge Semantics will help Merck KGaA, Darmstadt, Germany establish an enterprise data fabric to support multiple data management initiatives.

The Anzo platform will enable Merck KGaA, Darmstadt, Germany to deliver on immediate data-driven requirements, including regulatory compliance with Identification of Medicinal Products (IDMP), while establishing a future-proof data strategy by driving further value from data and analytics.

“New regulatory requirements necessitate innovative approaches to data management,” said Jörg Werner, associate director regulatory data governance at Merck KGaA, Darmstadt, Germany. “We selected Cambridge Semantics over other software vendors because Anzo’s underlying technology, which is based on semantics graph data models, aligns well with our data strategy to integrate and access information across research and development.”

Cambridge Semantics and Merck KGaA, Darmstadt, Germany delivered the first production solution in December 2019 focused on harmonizing and standardizing terminologies for regulatory compliance.

The teams are now partnering to expand the regulatory data fabric with data from several legacy systems to provide comprehensive access to regularly data objects and accelerate its strategic Veeva implementation.

“While we had multiple platform choices, including several based on semantics and ontology, only Cambridge Semantics has the technology, team and vision to deliver an enterprise-scale platform to support our data-driven research and development roadmap," noted Moritz Kloft, IT product manager at Merck KGaA, Darmstadt, Germany.