SIMCA SOLUTION OVERVIEW
SIMCA® is a software tool developed by Sartorius Data Analytics, formerly known as Umetrics. It is designed for multivariate data analysis (MVDA), which allows users to analyze complex data sets and extract meaningful patterns and relationships. SIMCA® can handle large and complex data sets, making it suitable for applications in various industries, including pharmaceuticals, biotechnology and manufacturing. In addition, using CONNECT data services (AVEVA™ Data Hub) as the backbone for collecting data across various sources, including the laboratory or manufacturing site, is critical to ensure comparability, data integrity, and contextualization.
SIMCA® is widely used for quality control and process optimization, helping engineers and operators to make data-driven decisions and improve operational efficiency.
Key capabilities of SIMCA® include:
- Data visualization: it provides visual tools to explore data patterns and trends, helping to identify outliers and groupings within the data.
- Batch modeling: SIMCA® can analyze batch processes, which is particularly useful in the pharmaceutical and chemical industries for quality control.
- Multivariate SPC: used for process monitoring, ensuring that processes remain within desired operational parameters.
- PCA: reduces the dimensionality of data, simplifying the analysis by highlighting the most significant variables.
- PLS: this regression technique models relationships between input variables and responses, useful for predictive modeling.
- OPLS®: this separates predictive information from non-predictive variation, enhancing model interpretability.
- Ease of use: the software is designed to be user-friendly, with a graphical interface that allows non-statisticians to perform complex analyses.