Context:
Our healthcare client was conducting a Phase III clinical trial to evaluate the efficacy of a new antihypertensive drug. Traditionally, they relied on SAS for data analysis, but the team decided to integrate R programming to increase flexibility, transparency, and reproducibility.

Resolution:
The team streamlined data cleaning and transformation processes, automated the generation of Tables, Listings, and Figures (TLFs), and improved reproducibility and transparency in statistical analyses using version-controlled R scripts.

Result:
The R-based workflow reduced analysis time by 30% compared to the SAS-only approach, enhanced reproducibility, and improved collaboration between statisticians and data scientists.