Abstract: Failure to thoroughly review discrepancies and deviations in drug manufacturing is consistently one of the top citations in FDA inspectional observations. Learn how a leading biotechnology organization successfully replaced an inefficient, manual inspection process with a genealogy visualization and inspection solution to optimize drug manufacturing quality control. This session will cover implementation approaches and lessons learned in data mapping, technology selection, visualization development, and predictive model generation.
Speaker: Tanya Cashorali
Title: Optimization of raw materials genealogy in drug manufacturing with R, Shiny and d3
Abstract_Sanitzed: Failure to thoroughly review discrepancies and deviations in drug manufacturing is consistently one of the top citations in FDA inspectional observations. Learn how a leading biotechnology organization successfully replaced an inefficient, manual inspection process with a genealogy visualization and inspection solution to optimize drug manufacturing quality control. This session will cover implementation approaches and lessons learned in data mapping, technology selection, visualization development, and predictive model generation.