Case Study: a leading biopharma company achieves 250x faster scientific data analytics with Cambridge Semantics AnzoGraph

Accelerating Scientific Discovery Analytics & Visual Rendering With Graph Olap Database

A leading biopharma company was facing a significant data challenge, with its scientists and analysts wasting time trying to locate and understand vast amounts of disparate data from various R&D sources. The company needed to accelerate scientific discovery by providing faster analytics and visual rendering to support crucial decisions. Cambridge Semantics was engaged to address this with its Anzo platform and AnzoGraph database.

The solution implemented by Cambridge Semantics created a semantic layer to understand the meaning and relationships of all enterprise data. Using AnzoGraph as the in-memory graph OLAP database, the company built an Enterprise Knowledge Graph that linked its diverse data sources. Cambridge Semantics provided a 250x faster query performance for complex analytics and visualization compared to the previous system, enabling researchers to ask new questions in real-time and substantially accelerating the R&D pipeline.