technology

Multivariate data analysis (MVDA) for bioprocess

Statistical methods that combine dozens of correlated process variables into a small number of latent factors to detect batch deviations that no single-variable control chart would catch.

Where it's used

Bioprocess data historians and analytics
Time-series databases that continuously archive every sensor and controller reading from bioreactors and downstream operations, plus the analytics layer on top — multivariate statistics and self-service search — that turns years of accumulated batch data into an early-warning system for process deviations.
analytics-pat 7 min