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Development of Scalable R Shiny Applications with Automated Reporting and Posit Ecosystem Integration
  1. case
  2. Development of Scalable R Shiny Applications with Automated Reporting and Posit Ecosystem Integration

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Development of Scalable R Shiny Applications with Automated Reporting and Posit Ecosystem Integration

appsilon.com
Medical
Pharmaceuticals
Biotechnology

Challenges in Data Processing and Regulatory Compliance

Manual data aggregation from multiple sources, reliance on error-prone Excel workflows, lack of scalable reporting solutions, inefficient deployment processes, and compliance risks in GxP environments hindered operational efficiency and decision-making agility.

About the Client

Global pharmaceutical company focused on drug discovery and regulated research environments

Strategic Objectives for Data Modernization

  • Develop production-ready R Shiny applications for real-time analytics
  • Migrate from Shiny Server to Posit Connect for enhanced scalability
  • Implement Posit Package Manager for streamlined dependency management
  • Automate GxP-compliant reporting workflows
  • Reduce report generation time from weeks to minutes
  • Improve cross-team collaboration through centralized data access

Core System Requirements

  • Real-time data analytics dashboards with role-based access
  • Automated GxP-compliant report generation (PDF/Word with attachments)
  • User adoption monitoring dashboard
  • Version-controlled deployment pipeline
  • Integrated error tracking and audit logging
  • Multi-source data connector framework

Technology Stack

R Shiny
Posit Connect
Posit Package Manager
R Markdown
Shiny Modules

System Integrations

  • Legacy data warehouses
  • GxP-compliant document management systems
  • Active Directory authentication

Operational Requirements

  • 24/7 high availability
  • Sub-30 second dashboard load times
  • Regulatory audit compliance
  • Role-based access control
  • Horizontal scalability

Expected Business Outcomes

Annual Product Reviews reduced from 8 weeks to real-time generation, 90% reduction in manual reporting errors, 30-second application load times enabling faster decision-making, and 50% increase in cross-functional team productivity through centralized data access.

More from this Company

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Development of Enhanced Health Equity Analytics Platform
Enterprise Data Science Platform with Multi-Team R Shiny Applications and Cross-Technology Integration
Scalable Posit Infrastructure Deployment with Package Management and R Shiny Optimization
Optimization and Scaling of Shiny Applications for Real-Time Decision-Making in Biomedical Research