Cologne (DE) and Walkersville, MD (USA), 3 October 2017 – Lonza is hosting a free 60-minute webinar on 24 October 2017, titled “Challenges and Strategies for Paperless Product Release – Bringing the Pieces Together.”
In a regulated manufacturing environment, production and quality tend to work in information “silos,” which creates challenges when managing a product release and often has associated costs. These “silos” can also have an impact on the ability to improve quality over time.
During the webinar strategies will be discussed to:
· Reduce the cost, complexity and time of batch record review and approval for product release
· Deliver simple, straight-forward analytics providing insight across production and quality disciplines so that these departments can share meaningful information
· Create highly configurable workflows that make the end-to-end process paperless, with a focus on end quality and efficiency
· Manage open systems with standard interfaces that comply with data integrity expectations
Session Date: Tuesday, 24 October 2017
Session 1: 8 AM EDT (New York) / 2 PM CET (Berlin)
or
Session 2: 11 AM PDT (Los Angeles) / 2 PM EDT (New York)
Speaker: Mike Goetter, Director of Informatics, Lonza Bioscience Solutions
Anyone interested in attending the webinar can register here.
MODA™ is a comprehensive platform for environmental, utility and product monitoring, combining automated scheduling, workflows, mobile data acquisition, device integration, and visual analytics. It eliminates paper-based monitoring and testing that can be expensive, error-prone, time and labor-intensive, therefore reducing timelines enhancing data integrity and potentially saving clients QC costs.
Further information can be found on the MODA product page. Alternatively, by registering interest in the webinar, participants unable to attend will receive a link once it is available to view “on demand” via the Lonza website.
More information about Lonza's upcoming webinars is available on the following website: www.lonza.com/researchwebinars