Case Study: GlaxoSmithKline achieves better quality-by-design manufacturing with JMP statistical discovery software

Scientists and engineers improve production processes using modeling and data visualization

GlaxoSmithKline, a pharmaceutical company focused on Quality by Design, needed a better way to generate, visualize, and analyze data to support risk assessments and build robust drug-manufacturing processes. The team wanted evidence-based tools to optimize processes efficiently, reduce costs, and make experimental results easier to understand and share.

JMP statistical discovery software from SAS provided the solution, giving GlaxoSmithKline scientists design of experiments, interactive modeling, data visualization, journals, and customizable dashboards. With JMP, they could quickly optimize manufacturing processes, spot gaps and control features, and communicate results more clearly; the measurable impact was faster process optimization with fewer experimental runs, helping reduce costs and improve process control.

GlaxoSmithKline

Martin Owen

Innovation Leader