Inconsistent and disconnected compound data doesn’t just slow teams down, it leads to flawed assumptions, repeated experiments, and delayed milestones. When critical decisions rely on incomplete or conflicting data, the cost to your programs can be significant. In this webinar, we’ll examine how forward-thinking R&D organizations eliminate data gaps and ensure every decision is backed by reliable, traceable compound information.
What you’ll learn:
- Where compound data gaps typically arise in discovery workflows
- The real impact of inconsistent data on project timelines and outcomes
- How to ensure traceability from compound design through testing
- Strategies to eliminate duplicate records and conflicting information
- How to strengthen data integrity without disrupting scientific work
Who should watch
- Discovery scientists managing compound libraries
- Data and AI teams working with chemical datasets
- Informatics and IT leaders responsible for research systems
- R&D decision-makers evaluating registration modernization
Speakers:
- Jan Christopherson
- József Kozma
