Learn how to minimise risk and promote data quality with data-driven approaches and digital tools – join us on 1 December
Event details and registration
Method transfer is the process of validating and adapting an analytical procedure from one laboratory or instrument to another to ensure consistent, reliable performance under new conditions. Traditional method transfer lacks agility in fast-paced, regulated environments – overcoming this using modern method transfer techniques is essential for consistent, high-quality results across global quality control operations. Comparative testing streamlines transfer while minimising risk and resource use, while continuous monitoring ensures method robustness post-transfer and supports proactive troubleshooting.
In this hour-long, interactive webinar with experts from Waters Corporation, you’ll learn how embracing modern, data-driven, digital enablement tools like waters_connect Data Intelligence and Empower Data Viewer can enhance real-time anomaly detection and visibility across sites. In addition, these tools accelerate investigations and corrective actions, fostering collaboration and transparency that is pivotal for fluid and efficient work.
By attending this webinar you will learn:
- Common challenges labs face during method transfer and how to build smarter, more resilient lab operations
- How digital tools and structure data improve visibility and control along with real-world examples of how these tools help labs move from reactive troubleshooting to proactive quality assurance
- Practical insights into how technology can support compliance, efficiency and scientific rigor
Speakers
Jonathan Scott

Zoe Chung

Event details and registration
To aid accessibility, automatically generated closed captions – which can be turned on and off at your leisure – will be available to all those attending live. Please note, a certificate of attendance will be provided soon after the event. You do not need to request this – only those who attend the webinar live will be eligible.





