Geometric Process Control (GPC) is much easier to understand and use than data analysis techniques based on algebra or calculus, because its operation is primarily visual. Behind the scenes, GCP is based on innovative yet solid n-dimensional geometry, which uses parallel co-ordinates to visualise thousands of variable interactions on one 2D graph.

By replacing the fundamental assumption of orthogonality between dimensions, which has restricted previous co-ordinate systems to 2D or 3D visualisation, limitations to the number of dimensions disappear. Users can interact with the full extent of the data available, quickly and easily, instead of working within an artificially constrained number of variables.

As a Senior Scientist at Astra Zeneca in the UK said, the technology simply “saves time by predicting optimum solutions without maths.”

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