On-Demand Webinar

Pharma 4.0: Modernizing Manufacturing With Analytics

This webinar, part of our "Analytics in 20" series, will cover the role of analytics in pharmaceutical manufacturing for improving quality and efficiency.


If you missed the Part 1 overview, catch up now (no registration required) then register for the Part 2 demo.

About the webinar

Pharmaceutical manufacturers need a fully digitalized, GMP-compliant manufacturing process to improve both quality and efficiency.

In order to achieve this, they need an end-to-end analytics strategy to model, simulate, trace and investigate the root cause of defects and constantly analyze quality.   

We'll discuss the role of analytics in pharmaceutical manufacturing to improve:

  • Availability – with optimization and prediction analytics to minimize micro-downtimes of the packaging line.
  • Quality – through early prediction of final test failures.
  • Throughput – by using a digital twin to optimize the manufacturing process.

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About the Experts


Jim Box, Principal Data Scientist for Life Sciences, SAS

Box provides strategic insights across the life sciences industry, with a focus on optimizing the execution of clinical trials. He spent 18 years in the CRO industry, holding leadership roles in statistics, statistical programming, data management and information technology. Throughout his career, he’s used analytics and simulation to improve business processes across all aspects of an organization. Prior to joining his current team, Box spent a year with the SAS® Solutions OnDemand Advanced Analytics Lab, working with customers on fraud detection, forecasting and modeling projects.


Marcia Walker, Principal Consultant, SAS Global Manufacturing Industry Practice

Walker helps clients apply data management and analytics technologies to make better decisions, faster. She works with a global team of quality and supply chain experts supporting implementations in both process and discrete manufacturing, and manages the global go-to-market activities for the SAS® Quality Analytic Suite. Her experience includes working as a senior director at SAP, managing international engagements with the Deloitte Consulting manufacturing practice, service in the industry business of Schneider Electric and a decade in roles of increasing responsibility at Rockwell Automation.


Alex Dähne, Principal Industry Consultant, Global Manufacturing Industry Practice, SAS

Dähne primarily focuses on driving the success of SAS Analytics in quality, reliability and maintenance. This involves engaging with customers globally to understand their needs and providing solutions. He provides input on the direction of the SAS Asset Performance Analytics solution. Prior to working at SAS, Dähne led the automotive team at Atos in Germany, bringing more than 20 years of experience in production, supply chain and service management.