Design of Experiments (DOE) is a data analytics method that helps you manage product development and testing in a more efficient way. Rather than testing one parameter at a time, DOE speeds up the process and helps you identify important interactions using an optimal series of carefully design experiments.
Multivariate Data Analysis (MVDA) is an advanced statistical technique that lets you analyze multiple variables and understand if, or how, they impact each other. You can use MVDA to create more robust products and optimize processes. MVDA software helps you visualize the data and understand what it means, determine cause and effect, as well as group data or understand differences.
Real-time process monitoring uses advanced data analytics models to help you understand what is happening with a process as it occurs. It gives technicians and operators actionable insights or even predictive warnings that allow them to correct process deviations before they cause quality or production issues.
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