Implementing a Data Mesh Architecture to Enhance Data Accessibility and Security in the Pharmaceutical Sector

The client faces significant hurdles due to the complexity of managing extensive data from multiple systems, leading to delays in access to vital information, inefficient data management, and limited data utilization. These issues hinder timely decision-making, operational efficiency, and regulatory compliance within a highly secure environment.

A large pharmaceutical organization committed to research and development, facing challenges in managing and utilizing vast, diverse data sources for faster decision-making and compliance.

• Reduce data delivery times to ensure timely access to critical medical and operational information.
• Enhance scalability of data operations to support growing data volumes and complexity.
• Improve data access management with robust security measures, ensuring compliance with industry standards.
• Streamline data management processes for more effective data resource utilization.
• Enable creation of reusable data products to minimize redundancy and optimize efficiency.
• Support future advanced analytics, including predictive insights and strategic decision-making capabilities.

• Decentralized data domain management enabling autonomous data product ownership.
• Standardized data schemas and interfaces for consistent data integration.
• Robust data governance policies for security, compliance, and access control.
• Automated data validation and quality checks integrated into the data pipeline.
• User-friendly interfaces for data discovery, access, and collaboration.
• Reusable data product infrastructure supporting versioning and lifecycle management.
• Real-time data processing capabilities using cloud-based platforms.

• Existing data warehouses and ERP systems
• Internal analytics dashboards
• Security and identity management systems

• Support for large-scale data volumes with high throughput
• Strong data security and access controls complying with industry standards
• High availability and fault tolerance
• Scalable architecture to accommodate future data growth and analytics needs
• Compliance with healthcare data privacy regulations

The project aims to significantly improve data delivery speed, scalability, and security, enabling faster decision-making and operational efficiency. Expected outcomes include reduced data processing and access times, enhanced data governance, more efficient utilization of data resources, and the creation of reusable data products. These improvements will support advanced analytics and predictive insights, positioning the organization for sustained innovation and strategic agility.