Case Study: Boehringer Ingelheim accelerates research and cuts data costs with Stardog

Boehringer Ingelheim centralizes 90% of R&D data with Stardog

Boehringer Ingelheim, a leading global pharmaceutical company, faced a challenge with data silos that hindered research efficiency. Their many independent research teams had data trapped in isolated systems, making it difficult to link information across the company. They needed a technical foundation to connect disparate data, support complex ontologies, and integrate external information. To solve this, they turned to Stardog to build an enterprise knowledge graph.

Using Stardog, Boehringer Ingelheim built a semantic layer and knowledge graph that virtualized access to their R&D data. This solution provided a centralized, one-stop shop for data, eliminating the need for expensive ETL processes and redundant data storage, which resulted in significant cost savings. The Stardog platform increased efficiency, allowing analysts to reuse past research and bioinformaticians to answer complex questions quickly without data cleaning, ultimately accelerating drug research.

Boehringer Ingelheim