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Lennart Eriksson, PhD, is senior lecturer and data scientist at Sartorius Stedim Data Analytics.
Chris McCready is lead data scientist at Sartorius Stedim Data Analytics
Advanced data analytics tools are used by industry to find the golden nuggets in historical data, to aid in process development, to fine-tune production, and to achieve long-term improvements in product quality and throughput.
Advanced data analytics tools are used by industry to find the golden nuggets in historical data, to aid in process development, to fine-tune production, and to achieve long-term improvements in product quality and throughput. Four key stages of data analytics can be seen as being part of a data analytical continuum. Handling those key stages diligently by using advanced data analytics tools is expected to give manufacturers a competitive edge.
Read this article from in Pharmaceutical Technology’s Biologics and Sterile Drug Manufacturing 2018 eBook.
Pharmaceutical Technology
eBook: Biologics and Sterile Drug Manufacturing 2018
Vol. 42
May 2018
Pages: 14–18
When referring to this article, please cite it as L. Eriksson and C. McCready, "Characterizing a Bioprocess with Advanced Data Analytics," Pharmaceutical Technology Biologics and Sterile Drug Manufacturing eBook (May 2018).
Lennart Eriksson, PhD, is senior lecturer and data scientist, lennart.eriksson@sartorius-stedim.com, and Chris McCready is lead data scientist, both at Sartorius Stedim Data Analytics.
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