Enterprise Data Platform Modernization and Scalability Enhancement

The client operates a heavily legacy-based enterprise collaboration system for medication data management, which lacks comprehensive technical documentation, hampers performance, and poses ongoing maintenance and scalability challenges. Multiple disjointed databases hinder real-time data uploading and assessment, leading to inefficiencies and increased manual effort by editors and researchers.

A large multinational healthcare and pharmaceutical research organization relying on a complex collaborative platform for drug discovery and data management.

• Develop comprehensive documentation of the existing legacy system architecture and components to facilitate informed modernization efforts.
• Identify and address system bottlenecks and technical risks to ensure reliable operation and scalable growth.
• Implement a robust modernization roadmap to extend system capabilities, improve data processing efficiency, and lay a foundation for future scalability.
• Enhance user workflows by designing and integrating new data loading modules to automate and streamline data uploads in real-time.
• Achieve a high-performance, maintainable, and scalable enterprise collaboration platform that meets current and future business needs.

• Reverse engineering of legacy system architecture and component mapping.
• Creation of detailed system documentation including architecture diagrams and component functions.
• Development of a modernization roadmap highlighting bottlenecks, risks, and scalability points.
• Design and implementation of new data load modules supporting automated, real-time data uploads.
• Integration of new system components with existing interfaces to ensure seamless operational continuity.
• Provision of tools for ongoing maintenance, scalability planning, and technical debt reduction.

• Disjointed databases and data sources for unified data assessment
• External regulatory or data validation tools if applicable
• Existing enterprise interfaces to ensure seamless system upgrade

• System scalability to support increasing data volume and user load
• High performance with minimal latency for data uploads and retrieval
• Data security and compliance with relevant regulations
• System availability and reliability for critical research operations

Implementing the proposed modernization will result in a more reliable, scalable, and maintainable collaboration platform, reducing data upload times and manual efforts for editors. This will enhance research efficiency, support rapid data assessments, and enable the organization to better meet regulatory and innovation milestones, ultimately leading to improved research throughput and reduced operation risks.