Save Time, Improve Quality
Accelerate SDTM Data Transformation Activities
Smart Auto Mapper Case Study
A Top 10 pharmaceutical company with well-established data management workflows wanted to speed up the transformation of raw data into CDSIC SDTM standard for regulatory submissions. Their bold goal was to significantly reduce mapping timelines – without impacting quality – accelerating time to market across their portfolio.
Download the case study to find out how our customer implemented Smart Auto Mapper to:
- Realize a 25% time savings in data mapping activities per study
- Achieve 70% auto mapping accuracy out of the box with Saama’s advanced AI/ML models
- Conduct SDTM data transformations in 3 weeks
