Innovation Highlights
The 2025.R2.0 release introduces smarter collaboration, improved usability, and stronger performance across the board.
Users can now co-edit shared items using Write permission, streamlining collaboration of analyses and dashboards between colleagues. Dashboard usability has been further enhanced with refined tile settings, smaller grids, and a presentation-friendly quick start mode.
Behind the scenes, an upgraded indexing engine boosts performance and provides info about the tag usage. Event Analytics now features a dual-pane layout for seamless analysis, while scatter plots support higher data resolution, advanced regressions, and reference lines for deeper insight.
With automated Shiftconnector® alerting, TrendMiner now closes the loop by creating alerts as real-time Shiftconnector® events. Finally, a new version of PlantIntegrations delivers a preview -release as a faster, standalone connection service.
Sharing items with Write permission
We have introduced a new permission engine that enables more flexible and powerful collaboration in TrendMiner.
As the Owner of a work item, you can now share it with colleagues using Write permission. Users with Write permission can open shared views, searches and dashboards, make changes, and save those changes directly to the original item. This goes beyond the existing Read permission, which allows users to interact with shared items but only save a personal copy. Write permission debottlenecks the maintenance of TrendMiner analyses and dashboards by allowing the creator to designate other trusted users to update and maintain items without fully transferring it from their work organizer.
This is the first feature powered by the new permission engine and a key step toward deeper, more effective collaboration in TrendMiner.
Improvements for easier dashboard consumption
Following the major DashHub remake in the previous release, we further enhanced DashHub usability. The newest improvements include:
Chart alias – Chart aliases can now be configured on dashboards per component. This means you can rename or simplify chart labels to what the viewers are familiar with, especially when working with complex nomenclature practices or multiple similar components.
Smaller grid size – The dashboard frame has been adjusted to allow for smaller tile sizes, giving you even more flexibility to design dashboards exactly how you want and fit more tiles in a single display.
Global tile settings – Users can configure their preferred tile settings by type. They can select to override the dashboard settings to their personal preferences. This helps you customize your dashboard and achieve a consistent look and feel across tiles.
Current Value: conditional background – The color you choose for a component’s condition can now be applied as a background, just like the Monitor Tile, making changes in values stand out more visually.
Quick Start in presentation mode – This is ideal for operations teams who want to quickly browse and switch dashboards without opening configuration panels in edit mode. This setting is saved in your personal preferences, so you can decide how you want to view your dashboards.
Indexing improvements
The indexing mechanism which ingests data from connected data sources has been upgraded to handle increased load more effectively. Changes are particularly notable on installations with many data sources, such that slow data sources do not hinder data coming from fast ones.
Along with performance improvements, more metrics are available to better understand tag and index behavior, such as tag statuses, number of indexed tags, and performance. These are all available to application administrators in the Index Manager menu.
Event Analytics – Enhanced exploration in tabular view
Search results and all subsequent calculations can now be accessed more easily and visualized simultaneously with timeseries trends. Whether configuring a new monitor or troubleshooting an upset, users can swiftly explore and cleanse event sets with all relevant data in view. Key improvements include:
Split Screen Layout – A dual-pane view now displays the event table above the familiar focus chart, enabling seamless correlation between data and visual context. Users can toggle between focusing on the table or the chart using dedicated buttons, enhancing the analysis experience.
Interactive Selection & Layering – Events can be added as (base) layers using selection boxes or quick actions from the event table, with dynamic options based on the number of selected events.
Upgrades to timeseries scatter plots
Timeseries single scatter plots have received a significant upgrade, bringing more power and flexibility to your data analysis. Key improvements include:
Increased data resolution – Single scatter plots can now display up to 200,000 data points, depending on the selected time range – compared to just 1,000 in previous versions. Note: in multi-grid view, the limit remains 1,000 points.
Expanded regression options – In addition to linear regression, you can now apply logarithmic, polynomial, power, and exponential regression models to better fit your data.
Reference lines – You can now overlay up to five reference lines on your scatter plot. This is especially useful for comparing current equipment behavior against a known reference—such as a model provided by an equipment manufacturer or derived from historical optimal performance.
Automated Shiftconnector® Alerting
Warning
This feature is not available by default, but it can be enabled “on-request”. Contact TrendMiner Support for assistance.
The diagram above illustrates a typical operational workflow: a bad batch is discussed during the morning meeting, after which process engineers investigate the issue in TrendMiner and interpret the reports from Shiftconnector® events that are synced with TrendMiner. Once the root cause is identified, such as a temperature spike, the engineer creates a monitoring alert in TrendMiner.
Previously, this insight had to be manually re-entered in Shiftconnector® to keep shift teams informed.
With the new release, we’ve closed this loop.
By automating the flow between TrendMiner and Shiftconnector®, we move from a reactive workflow to a proactive, closed-loop system, where insights are shared between both systems, keeping operations aligned and accelerating response times.
With the new automatic alerting functionality, TrendMiner monitors can now automatically create Shiftconnector® events when configured thresholds are reached.
This allows process conditions to be continuously monitored, with any deviations instantly registered as events in Shiftconnector®, without manual intervention.
The entire setup is managed within TrendMiner without requiring any custom integration, allowing full control in the hands of process engineers.
By pushing TrendMiner alerts directly into the Shiftconnector® platform, this integration ensuring nothing is missed during shift handovers, eliminates duplicate data entry and turning every TrendMiner alert into a real-time, actionable signal for operational teams.
Next generation PlantIntegrations - Preview
As part of the 2025.R2 release, we’re introducing a preview version of PlantIntegrations, the service responsible for connecting TrendMiner to historians and IoT platforms.
This fully standalone version no longer requires Microsoft IIS and brings key improvements, including better performance, lower memory usage, and easier management through central configuration in ConfigHub (no more web.config files).
The new PlantIntegrations (V5) is fully compatible with existing setups, allowing you to install it alongside your current version and switch between them at any time without production risk.
While the PlantIntegrations preview version is already production-ready and fully validated, additional capabilities such as HTTPS and authentication support will be introduced later this year. By switching to the new PlantIntegrations, you can already benefit from the latest improvements.
To support the transition to the new PlantIntegrations, we’ve provided the release and deprecation roadmap that illustrates how both V4 and V5 will continue to be supported in parallel, ensuring a safe and gradual migration path.
