Process manufacturing companies continually strive to optimize overall equipment efficiency, performance and profitability while complying with applicable regulations. Transforming data captured in history into actionable information is a great way to start achieving your process performance optimization goals. On a high-performance analytics engine for capturing data in time series.
With TrendMiner, process engineers and operators can easily search for trends and query process data directly without the help of data scientists. Search, diagnostic and predictive functions enable users to speed up root cause analysis, define optimal processes and monitor production processes with information. This production information can be used to issue automated alerts to notify operators when deviations occur, or to capture and utilize relevant production information across sites.
Collaboration and Self-Learning
Big Data Software Connection and Integration Performance: