Discoverant and SIMCA-P+

Best of Breed Tools for sophisticated multivariate data Analysis: See the Power of Discoverant working with SIMCA-P+

As an existing Aegis customer, you know the power Discoverant Nexus offers for self-service, on-demand access to all of your manufacturing data discrete and continuous data from multiple data sources, including paper-based records.

You've also seen the benefit of the advanced analytical capabilities offered through Discoverant's InVision modules - providing your process engineers, scientists and statisticians to gain deeper insight into the process development, CMO and/or manufacturing process.

Do you need a more robust latent variable analytical capability for chemometrics and other sophisticated multivariate techniques?

Aegis has partnered with Umetrics, a leading analytics software company which supplies sophisticated data analysis software and training courses for multivariate analysis and design of experiments.

Umetrics' SIMCA-P+ is an sophisticated multivariate technology which provides advanced users with multivariate methods such as Projection to Latent Structures (PLS) modeling capabilities that enable them to reduce very large masses of process data into multi-dimensional vectors or scores that can be used in graphical representations that show the state of a process and the relationships in large data sets.

A Powerful Combination: Discoverant and SIMCA-P+

Discoverant and SIMCA-P+ can work together to solve complex multivariate problems using latent variable techniques. Discoverant's self-service data access platform enables easy access to discrete and continuous data from multiple data sources and paper records. Its complimentary analytical capabilities and data processing tools are used to derive new parameters "on-the-fly" for use in SIMCA-P+. Users can pass Discoverant's data and analysis results to directly to SIMCA-P+, using a standard ODBC interface, to conduct more complex n-dimensional analysis.

Watch a demonstration of Discoverant and SIMCA-P+ working together synergistically.