Biologics R&D Data Management: Why Labs Aren’t Reaching Their Full Potential & Best Practices to Course Correct
Presented on 28 Jun 2018
At the heart of key challenges facing biologics laboratories today lies the volume and complexity of data created throughout the scientific process
Whether this is biologics experimental data recorded as part of a cell line development, upstream, downstream, or analytical processes, or result and raw data generated through instrumentation, extracting, analyzing and reporting on this data in different formats, from disparate sources, can cost businesses results, time, and money.
Trends such as the rise of Industry 4.0 and high throughput systems (HTS) will only continue to increase the existence and creation of big data in science; the bioprocess industry is fast moving towards a realm of automation and continuous bioprocessing, both of which help streamline live procedures. Yet scientists still need day-to-day and end-to-end tools to be able to store the data they generate in consistent formats, to mine the data with ease for re-use, and to visualize only the data relevant to their need.
Join us for this webinar to learn about:
- Key challenges biologics researchers face today with outdated technologies, manual processes, siloed data, and increasing pressure to innovate your R&D
- The effects of poor data management on your lab – and the different facets to address to be able to conduct data mining, share information across teams, and harmonize contextualized data capture
- How a winning workflow execution can optimize your processes to increase efficiencies, improve product quality, and enable effective collaborations with your teams
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