Case Study: Multinational Biopharmaceutical Company reduces clinical data integration time from 6 weeks to 1 day with Tamr Inc.

Tamr Accelerates Preparation Of Clinical Data From 6 Weeks To 1 Day

Biopharma Company needed to unlock thousands of legacy clinical-trial and biomarker datasets to support translational research and drug development, but traditional ETL and statistical-programming approaches were too slow and inconsistent. The company engaged Tamr Inc. to tackle massive volume and variety—no schema alignment across studies, changing internal standards, and a six-week turnaround to integrate a new study—so scientists could access analytics-ready data across new and historical trials.

Tamr Inc. implemented its human-guided machine learning solution to automatically ingest SAS binary files, map legacy studies to a master schema with ML-guided matching and expert validation, provide point-and-click transformations, and generate documentation before loading aligned data into the existing pipeline. The result: integration time for a new clinical-study dataset fell from about six weeks to one day, enabling Biopharma Company’s translational scientists to analyze far more data faster and realize greater ROI from their clinical data.