TrendHub Next Generation
We are proud to announce the full launch of the next-generation (advanced) trend client & industrial analytics Hub for timeseries sensor data. Based on your extensive feedback, we’ve drastically improved the user experience such that even more than today, TrendHub will empower operators, engineers and other domain experts to visualize historical and real-time process data and dive into the data to analyse, diagnose & predict production or equipment issues, based on the well-known and powerful capabilities of the TrendMiner analytics engine.
What does this mean for our users?
Improved and even more user-friendly trend viewer, including simplified grouping & auto-scaling of multiple tags, scrolling & panning of axis, more detailed scatterplots colored by time, etc. which gives users the full flexibility and agility to visually explore sensor data.
Initial feedback from TrendHub Beta has already been taken into account. Check the synopsis section below to learn about the additional improvements.
Central role for views in your analyses with simplified view saving, including live views and active filters + direct access to descriptive analytics (period statistics & comparison).
Streamlined search-experience including multiple calculations on search results, saved with the search definition for easy replication on new time periods or similar assets.
Improved implementation of the Recommender Engine as Diagnose to facilitate global Root Cause Analysis with configurable upstream time shift.
New implementation of Influence Factors as Prediction Tags to facilitate soft-sensor creation, next to a revamped Predictive Mode to explore future evolution of sensor data.
To accommodate the change in user experience, we are also launching an improved in-app learning & support experience with a brand new getting-started guide which allows users to access in-app tours at their own pace, 1-click access to the in-app help-center & online e-learning courses as well as the well-known options to reach out to the TrendMiner team.