A key internal analytics tool for planning medical research had become hard to use. The interface was outdated, filters didn’t work, and the data was unreliable. This made it hard for teams to trust the tool or use it for key decisions.
Appsilon redesigned the interface using custom Shiny components to improve usability.
We rebuilt the data pipeline in Python to fix logic issues and boost data quality. The backend was also tuned for better performance.
We added two new data sources, a KPI dashboards, and refactored the codebase for long-term scalability and maintainability.
- Resolved 100% of data handling issues, restoring trust in analytics
- Improved UI/UX led to increased stakeholder engagement and adoption
From advanced analytics to platform development and pharma consulting, we craft solutions tailored to your needs.