CONTEXT
A client conducting a multi-site cancer trial was struggling to manage data collected from different hospitals. Each site followed its own data entry standards and formats, making consolidation difficult. This created delays in analysis, compromised data quality, and complicated regulatory reporting.

RESOLUTION
We deployed a specialized team with deep expertise in oncology trials and Real-World Data (RWD) analytics. Using R, the team developed a structured workflow to import, clean, and standardize data from all participating centers. Data was ingested using packages like readr, readxl, and haven, and cleaned with janitor and validated using assertthat and custom logic. Standardization was handled with dplyr, and datasets were merged using bind_rows() and full_join(). Clinical coding was harmonized using lookup tables and recode() functions. For transparency and real-time monitoring, interactive dashboards were built with Shiny, and automated reports were generated using R Markdown.

RESULT
The R-based solution streamlined the entire data management process across multiple sites. The final dataset was clean, consistent, and analysis-ready, enabling faster insights, smoother regulatory submissions, and better decision-making throughout the trial.