Too often progress can be disrupted by inefficiencies in bioprocessing operations, quality issues and a lack of insight into processes

Join Eliot Randle of IDBS as he shines a spotlight on the difficulties biopharmaceutical organizations encounter when managing complex development workflows. Looking at case studies, Eliot will explore ways of optimizing bioprocessing operations to increase data quality, facilitate the flow of data and gain the insight into operations and workflows needed to support continuous improvement and Quality by Design.

Focus on insight, quality and innovation, not admin

Learn how you can successfully optimize bioprocessing operations and workflows. The resulting improvements in operational efficiency can free up scientists from data admin tasks and reduce development timelines. Common errors can be engineered out of processes resulting in more accurate data, significantly reducing QA overheads and minimizing risk while harmonization around a single enterprise R&D data management platform gives organizations unparalleled insight across products, processes and workflows.

What are inefficient processes costing you?

Research indicates that people in biopharma organizations spend up to five hours per week looking for data to prepare reports. Worse still, 20% of the time the data needed cannot be found often resulting in experiments and projects having to be re-run. This is just one example of the kind of inefficiencies that happen when there’s a lack of product and process insight.

Challenges to overcome include a lack of a standardized, comprehensive approach to data management and quality control; reliance on paper-based, manual processes and heterogeneous, unconnected systems. When every department in an organization is following different processes, it's a recipe for development lifecycles being stretched.

Attend our webinar and find out what a difference an integrated system to manage and execute bioprocess workflows could make to you.