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Next-Generation Pharmaceutical Data Analytics Suite Development
  1. case
  2. Next-Generation Pharmaceutical Data Analytics Suite Development

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Next-Generation Pharmaceutical Data Analytics Suite Development

itransition.com
Medical
Information technology

Business Challenges

The client faced critical challenges including insufficient product development capacity to meet roadmap goals, outdated development practices due to client-side implementation focus, lack of skilled engineering resources for aggressive timelines, and no in-house expertise for large-scale replatforming initiatives.

About the Client

Global provider of pharmaceutical market analytics leveraging BI, ML, AI, and data science systems with hundreds of millions of anonymized patient records and extensive patent databases

Key Project Goals

  • Modernize legacy BI platform with enhanced scalability and performance
  • Develop modular data management and visualization applications
  • Implement cloud migration strategy for improved accessibility
  • Establish automated data processing pipelines with reduced resource consumption
  • Create user-friendly interfaces for non-technical stakeholders

Core System Requirements

  • Automated multi-source data processing with format support (CSV, XLS, Parquet, etc.)
  • Customizable reporting engine with 35x faster SQL querying
  • Interactive visualization tools with Highcharts/Highmaps integration
  • Role-based access control for data security
  • Forecasting and recommendation algorithms
  • ETL workflow automation with web interface
  • Cloud storage integration (AWS S3, Azure Blob)
  • Data quality validation and QC reporting

Technology Stack

ASP.NET MVC framework
React.js for frontend
Microsoft SQL Server
Apache Hadoop
Oracle Database
Cloud infrastructure (AWS/Azure)

System Integrations

  • Salesforce (via Bulk API)
  • FTP servers
  • Third-party data visualization tools
  • Enterprise authentication systems

Non-Functional Requirements

  • Horizontal scalability (scale-up/scale-out architecture)
  • 99.9% system availability SLA
  • HIPAA-compliant data handling
  • Sub-second report rendering performance
  • Automated horizontal scaling for peak loads

Expected Business Impact

The solution will enable 10x faster data processing, 35x improved reporting performance, 60% reduction in hardware costs, and 80% faster time-to-market for new analytics products. The modular architecture will support rapid feature expansion while maintaining enterprise-grade security and compliance with healthcare data regulations.

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