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Modernization of Enterprise Collaboration Platform for Pharmaceutical Data Management

nix-united.com

Medical

Information technology

Legacy System Limitations and Data Fragmentation

Thomson Reuters' JPharm platform suffered from a lack of technical documentation, heterogeneous data sources causing manual data processing delays, and an outdated architecture that hindered scalability and maintenance. Previous vendor attempts at modernization failed due to coordination issues and insufficient technical expertise.

About the Client

Global provider of pharmaceutical market tracking and collaboration solutions with operations in research, regulatory compliance, and drug development support

Platform Modernization Goals

Reverse-engineer legacy system architecture for documentation
Integrate fragmented data sources into a cohesive system
Implement scalable architecture for future expansion
Automate data loading processes for editorial teams
Establish technical roadmap for continuous development

Core System Requirements

Reverse-engineered system architecture documentation
Centralized data management interface
Automated data validation and formatting modules
Scalable microservices-based architecture
Role-based access control for global editors

Technology Stack

Java

PL/SQL

Microservices Architecture

System Integrations

Legacy database migration tools
Cortellis collaboration ecosystem APIs
Global user authentication system

Quality Attributes

99.9% system availability SLA
Support for 10x concurrent user growth
HIPAA-compliant data handling
Automated CI/CD pipeline implementation
Documentation-driven development standards

Business Transformation Outcomes

The modernized platform will enable real-time pharmaceutical data collaboration across global teams, reduce manual data processing time by 70%, and establish a foundation for AI-driven drug discovery integrations. The architecture overhaul will support 5-year scalability requirements while maintaining regulatory compliance and reducing technical debt by 60%.