Case Study: a large diversified pharma company achieves faster early-stage licensing scouting with Cambridge Semantics and Thomson Reuters

Large Diversified Pharma Company - Customer Case Study

A large diversified pharma company's knowledge management team faced the immense challenge of manually scouting for early-stage licensing opportunities. They needed to identify and screen new compounds and technologies by endlessly searching through dozens of disparate data sources. The process was so resource-intensive that they could only update their searches twice a year, risking a loss of first-mover advantage. To overcome this, they implemented a joint competitive intelligence solution from Cambridge Semantics, leveraging their Anzo platform integrated with Thomson Reuters Cortellis content.

The solution from Cambridge Semantics aggregated and harmonized data from numerous internal and external sources into a single knowledgebase. This allowed the pharma to automate the identification of candidate opportunities, provide stakeholders with real-time dashboards and alerts, and accommodate strategic shifts immediately. As a result, the company reduced licensing cost and risk, improved the effectiveness of its scouting efforts at partnering meetings, and repurposed the curated intelligence for other strategic uses, significantly improving decision-making efficiency.