Statistical process control
Track process variation with appropriate statistical methods.
LIFE SCIENCES ANALYTICS
Manufacturing & Quality Analytics
Explore process performance and turn manufacturing data into useful operational insight.
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Design of experiments
Organize and analyze experimental datasets.
Multivariate analysis
Explore relationships across multiple process variables.
Predictive analytics
Investigate predictive indicators and data-driven trends.
A practical, phased approach
We begin with your scientific objectives, data sources and existing systems. We then agree the scope, expected deliverables, verification needs and a realistic implementation plan.
Methods, deliverables and applicable GxP responsibilities are assessed for each project; this page does not describe a validated off-the-shelf product.
Discuss your scientific data challenge
Tell us about the workflow, dataset or analysis you want to improve.
Discuss an analytics project