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Case Study

Smart Auto Mapper

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
  • Download Case Study

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