Chris McCready is lead data scientist at Sartorius Stedim Data Analytics

Chris McCready

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. 

Pharmaceutical Technology’s Biologics and Sterile Drug Manufacturing 2018

 Biologics and Sterile Drug Manufacturing 2018

	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 

	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.

Articles

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.