How a Public Biotech Modernized Data Analytics for Faster, More Scalable Discovery
Value Delivered
Streamlined Analytics Environment
Enhanced Security with Azure AD SSO
Reduced Maintenance & Cost via Custom AMI
In biotech R&D, speed and reliability aren’t optional—they’re essential. But for one leading biotech, local installations of the KNIME Analytics Platform created bottlenecks instead of breakthroughs. Manual setup and maintenance across users led to compatibility issues, workflow interruptions, and mounting administrative overhead that stalled innovation.
That changed when they partnered with Clovertex.
From Local Chaos to Cloud Control
Clovertex collaborated with the biotech’s internal teams to migrate the KNIME Analytics Platform to a centralized AWS HPC environment, eliminating the need for manual installations and version conflicts.
The new architecture introduced:
- Automated deployment processes for faster setup and updates
- Secure remote access through NICE DCV
- Shared data and workflow management using Amazon Elastic File System (EFS)
- Single sign-on through Azure AD for secure, simplified access across teams
The Results
The impact was immediate:
- Operational Efficiency: Platform updates and configurations are now automated and consistent across the organization.
- Reduced Administrative Burden: Users no longer spend time troubleshooting compatibility or maintaining local versions.
- Enhanced Security: Azure AD single sign-on provides an added layer of control and protection.
- Lower Costs: A custom Amazon Machine Image (AMI) enables resource optimization and cost savings.
The Takeaway
This project highlights how migrating analytics platforms to the cloud can transform data science operations in life sciences. By eliminating local dependencies and enabling centralized management, organizations gain efficiency, security, and scalability, all critical for accelerating R&D outcomes.
Whether you’re managing a global data science team or modernizing research IT infrastructure, the question isn’t if you should move analytics to the cloud—it’s how fast you can get there.
Explore the Strategy Behind the Results
