Designing a scalable and compliance-ready data platform in life sciences

Designing a scalable and compliance-ready data platform in life sciences

Learn how we helped our client design a data platform supporting standardized reporting, self-service and AI-driven analytics

Data Infrastructure Design

The Client

Our client is a biotechnology company that focuses on developing innovative immunological drugs, particularly for treating autoimmune diseases and cancer. With operations spanning research, clinical development, and commercialization, they are a key player in the life sciences sector.

The company is experiencing rapid growth, requiring robust data solutions to support its expanding operations.

The Business Case

The company faced the challenge of designing and deploying a data platform to support a broad range of analytics use cases within the organization including standardized reporting to manage core business processes, self-service analytics for both ad-hoc analysis and decentralized report development, and AI-driven analytics that benefit from structured historical data archiving.  

After choosing to work with the Snowflake Data Cloud, their data strategy initially lacked standardization. Rapid growth led to fragmented data collection approaches, causing inefficiencies across key processes. Also, Veeva Vault, a data management platform designed for life sciences to streamline regulatory, clinical, quality, and commercial processes, still lacked real-time integration with Snowflake

The Approach

Close collaboration between IT, regulatory, and business teams was crucial to building a high-performance data platform, enabling transformative insights, operational efficiency, and compliance readiness.

Key steps: 

  • We build a centralized future-proof data warehouse with built-in audit trails, streamlined processes, and proactive change management. Thoughtfully designed to empower users across all levels of technical expertise, ensuring accessibility and efficiency.
  • We structured data around business processes using the Data Vault methodology for flexibility and scalability.
  • We automated real-time data replication from Veeva Vault to Snowflake.
  • Integrated AI and machine learning workflows for advanced analytics and operational improvements

The Results

  • Reduced time-to-insight by 40%, enabling faster decision-making.
  • Automated data exports and transformations reduce manual effort and error rates by 30%.
  • Established robust audit trails and access controls to ensure regulatory alignment.
  • A modular architecture supports scaling and the onboarding of new data projects and processes.

What Tropos can do for you

Are you looking for a data services partner with expertise in deploying a scalable, compliance-ready data platform for your organization? A partner with experience in life sciences, such as automated real-time data replication from Veeva Vault? A partner who automates manual data engineering tasks to save time and reduce human errors?

Don't hesitate to contact us—let's discuss how we can support you!

No items found.
Data Infrastructure Design

Balancing local data independence with organization-wide standards and cost management

Learn how we helped our client set up a data mesh architecture
Data Infrastructure Design
Data Platform Migration

More operational efficiency through data infrastructure design

Lean how we helped Sanoma Learning streamline their data infrastructure and workflows
AI & Machine Learning Solutions

Enhancing B2B customer experience with a chatbot

Read how we developed a smart chatbot prototype for our client's B2B portal

Do you want to unlock the potential of your data?