Webinar: Delivering Business Value from your Process and Quality Data

Sponsored by: BIOVIA

Focused on:

  • Business
  • Value
  • Process
  • Data

Date: 19 March

918

Time: 3PM London/11AM New York

Replace inefficient, manual work with an automated solution for Process Production Operations

In today's pharmaceutical manufacturing industry, there are major challenges with getting the data you need from all the disparate sources and paper records across the organization in order to make business decisions. Then when you get the data, it requires error-prone manual work to analyze and generate reports. Working in spreadsheets, dealing with the delay of getting the additional data needed and using un-validated analysis results and reports are all major problems that people face every day. This costs organizations time, resources and ultimately, money.

Join the BIOVIA Discoverant experts for this live webinar and learn how to improve process design by understanding the critical process parameters that drive the desired business results; increase process performance by helping you monitor variability with automated alerts for review-by-exception to enable preemptive action; and enhance process improvement by leveraging opportunities to maximize yield, quality, and sustainability.

BIOVIA Discoverant for Process Production Operations is used by leading Life Science manufacturers to improve production process design by understanding the critical process parameters that drive the desired business results (QbD); increase process performance by monitoring variability with automated alerts for review-by-exception to enable preemptive action (CPV); and enhance process improvement by leveraging opportunities to maximize yield, quality, and sustainability (Process Robustness).

Presented by

Dr. Justin Neway,

Vice President and Senior Fellow

Dr. Neway has over 30 years of experience in biotechnology and pharmaceutical process development and manufacturing, and in the application of software solutions to operational issues and quality compliance in the biotechnology and pharmaceutical industry. He received his B.Sc. (Microbiology, 1975) and M.Sc. (Biochemistry, 1977) from the University of Calgary (Canada) and his Ph.D. in Biochemistry from the University of Illinois (USA) in 1982. After holding various Process Development and Manufacturing leadership positions at Wyeth, Novartis and Baxter, Dr. Neway joined Aegis in 1997 which became a part of Accelrys in 2012 and Dassault Systèmes’ BIOVIA in 2014.

Brent Rognlie,

Advisory Field Applications Scientist

Brent Rognlie has over 20 years of experience in consulting, application design, systems analysis and quality engineering in both pharmaceutical and biotechnology companies. He received his B.Sc. (Computer Science & Math, 1985) from Minnesota State University Moorhead and his M.Sc. (Statistics) from Kansas State University in 1987. After holding various positions at Baxter and as an independent consultant for various companies Brent joined Aegis in 2000 which became a part of Accelrys in 2012 and Dassault Systèmes’ BIOVIA in 2014.

Key Learning Objectives

  • Improving process outcomes by identifying sources of process variability for improved process control
  • Improving process performance visibility with automated trending and alerts for review-by-exception to enable preemptive action
  • Providing on-demand data access, aggregation and contextualization to reduce non-value-adding manual tasks and the risk of errors
  • Role-based signal monitoring dashboards for process performance visibility across the production enterprise

Audience

  • VP/Director/Manager of IT
  • Quality Engineer
  • Process Engineer
  • VP/Director/Manager of Manufacturing
  • Process Analyst
  • Scientist
  • Applications Specialist
  • Systems Analyst
  • Business Analyst
  • VP/Director/Manager of Quality
  • VP/Director/Manager Process Sciences
  • Process Scientist
  • VP/Director/Manager of Operations
  • VP/Director/Manager of Technical Operations
  • VP/Director/Manager of Process Engineering