Characterizing a Bioprocess with Advanced Data Analytics

May 15, 2018
Lennart Eriksson

Lennart Eriksson, PhD, is senior lecturer and data scientist at Sartorius Stedim Data Analytics.

,
Chris McCready

Chris McCready is lead data scientist at Sartorius Stedim Data Analytics

Pharmaceutical Technology, Pharmaceutical Technology-05-15-2018, Volume 2018 eBook, Issue 1
Page Number: 14–18

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.

Article Details

Pharmaceutical Technology
eBook: Biologics and Sterile Drug Manufacturing 2018
Vol. 42
May 2018
Pages: 14–18

Citation

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).

About the Authors

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.