Case Study: a leading global clinical research organization reduces cost per sample with Persistent Systems

Persistent helps leading clinical research organization reduce cost per sample to less than a dollar

The client, a leading global clinical research organization (CRO), faced challenges with business growth due to a lack of quick scalability. They needed to unify data and reporting views, remove data silos across departments, and accelerate research outcomes. To address this, they partnered with vendor Persistent Systems for a solution involving a modern cloud data stack.

Persistent Systems developed a genomic big data multi-tenant platform on AWS, creating a petabyte-scale data lake to standardize data ingestion from multiple sources. This end-to-end solution automated the workflow from sample to report. The results were significant, reducing variant interpretation time from weeks to days, achieving 70% faster processing, and lowering the cost per sample to less than one dollar.