A global pharma consolidated R&D data on Cloudera Private Cloud and cut genome-wide analysis from 80 years to weeks.

Siloed clinical, lab and production data, compute contention and slow upgrades held back researchers as headcount and data volume were set to double. The company deployed Cloudera Private Cloud with SDX and Data Science Workbench. The page reports $22.8M NPV over three years, genome-wide association analysis cut from 80 years to a few weeks, and 97% of data visible to R&D users.

Cloudera is a hybrid data and AI platform, used by pharma, CROs and healthcare analytics firms for R&D data consolidation and trial analytics

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.