Aspen ProMV analyzes interrelated process data to identify the minimum critical set of variables driving the quality and performance of the process and identifies optimal setpoints. It helps you find the real underlying sources of variation in production processes. Using multivariate analysis, Aspen ProMV converts the original set of input variables to a smaller set of latent variables. 

These latent variables are orthogonal pseudo-variables that are easier to analyze, so that you can:
Map your operating space from available plant data because Aspen ProMV exploits the tens of thousands of recorded “experiments” in your plant historian to develop a robust model of the process that can predict plant performance at different operating points.
Stabilize quality, yield and productivity, to understand and remedy the causes of recurring process upsets. Find key patterns of movement in process variables that trigger undesirable outcomes. Insights gained often lead to significant operational improvements.
Persist these improvements via online multivariate monitoring. Sensitively detect and diagnose subtle shifts from optimal process operation. Aspen ProMV enables early, informed intervention by operations personnel.
Applications of Aspen ProMV

Quality deviation analysis
Unit yield analysis
Production capacity degradation analysis
Offline multivariate analysis (discovery and optimization of key variables)
Online (real-time) multivariate analysis (monitoring and troubleshooting)
Batch process variability analysis Key Capabilities
Continuous or batch process optimization
Online (real-time) batch multivariate analysis
Automated batch data alignment