February 28, 2019 – TrendMiner NV , a Software AG company, has announced their latest software update: TrendMiner 2019.R1. The release includes a visual representation of time-series data, as well as a number of usability enhancements.
TrendMiner enables process and asset experts to analyze, monitor and predict operational performance through trend analysis of time-series data. The new 'Stacked Trend View' enables the display of trend data within separate lanes, vertically stacked and aligned. The Stacked Trend View is an addition to TrendMiner's trend view, which gives a view on all trend data. The interface allows the user to move the trend lines from one lane to another by dragging and dropping tags to combine similar measurements (for example, to compare performance of similar production lines or various reactors on a production site).
TrendMiner's Recommender Engine, a self-service approach to finding potential root causes for anomalies, can be used to suggest root causes for performance anomalies. The suggested root causes can be added as tags to the appropriate stacked trend lane, including necessary time shifts. Users can now visually assess the impact of the early indicators for performance issues.
The Stacked Trend View can also be used to represent golden fingerprints, providing a practical option to compare the live performance of multiple assets or highlight the relationship of normally disparate elements of a production process. In predictive mode, the most likely evolution of process behavior can now be visually represented in separate lanes, identifying the need of intervention when and where required.