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The Challenge

Chromatography labs in biopharma face delays, reduced productivity, and compliance risks caused by fragmented data spread across chromatography data systems (CDSs) and sites. Analyzing this data is often slow, costly, and retrospective, hampered by fragmented data access.

The Solution

Chromatography Insights is a universal dashboard that centralizes data from all chromatography data systems (CDSs) across an organization—regardless of vendor, project, site, department, and version. It provides near real-time visibility into method, instrument, and column performance. This enables early detection of out-of-spec results, leading to improved process control, faster batch release, and better stability studies.

By visualizing data from tens of millions of injections—both recent and historical—at an enterprise scale, users and leaders can uncover deeper insights for faster, smarter decisions. This robust foundation paves the way for predictive modeling and AI, enabling organizations to leverage their data for strategic advantage.

What You’ll See in the Demo

• Batch Release Continuity: Track impurity trends across batches run at multiple sites to quickly address performance variations before they lead to out-of-spec events.
• Proactive Tech Transfer Management: Resolve tech transfer issues ahead of audits by comparing method performance across multiple CDSs.
• Column Performance Tracking: Monitor and optimize column usage to prevent method failures.

On-demand webinars

Webinar replay

Solving Chromatography Data Challenges Using Advanced Analytics and AI
Watch webinar The Power of Liquid Data in Biopharma CMC Workflows
Watch webinar Unlock the power of your scientific data with Databricks and TetraScience
Watch webinar Making BioPharma AI-Ready
Watch webinar

Upcoming Webinars

Liquid Chromatography Meets Liquid Data
Watch webinar A New Paradigm in Bioprocessing Intelligence to Accelerate Time to Market
Watch webinar Scalable data strategies for scientific AI-enabled breakthroughs
Watch webinar Tetra in Action: Optimizing High-Throughput Screening Data Workflows
Watch webinar

Learning Objectives

• Generate new insights by visualizing and analyzing data across multiple teams.
• Assess the generative AI readiness of your data architecture.
• Replatform and engineer scientific data in the cloud using a centralized or federated strategy.
• Employ advanced analytics to define a scientifically sound chemistry manufacturing and controls (CMC) strategy.