Press Release (ePRNews.com) - TORONTO - Jun 19, 2018 - 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 Will Gray, lead consultant, and Unjulie Bhanot, solutions consultant, at IDBS on Thursday, June 28, 2018, at 10 a.m. EDT (3 p.m. BST), 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- Key challenges biologics researchers face today with outdated technologies, manual processes, siloed data and increasing pressure to innovate your R&D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 the 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 processes to increase efficiencies, improve product quality and enable effective collaborations with teams
For more information about this complimentary webinar, visit Biologics R&D Data Management: Why Labs Aren’t Reaching Their Full Potential & Best Practices to Course Correct.
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Nima Rajan Source :
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