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Hello 👋,We had the 2026.R1.0 release webinar yesterday. Thanks to everyone who joined!For those who missed it, here are the recording, slides and full release notes:📽️ Watch the recording  📊 Check out the slides📄 Full release notes  Share Your Product Ideas with usFunctionality requests can be submitted at https://community.trendminer.com/ideas Requests are reviewed regularly by the product team. Several features in this release originated from Community submissions. Here is the summary of the webinar: Collapsed Plotting When a filter is active, users can now collapse filtered-out time periods. The remaining data is stitched together and scaled to fill the full chart area. Gap indicators mark where data is non-continuous. This view also applies to Dash Hub tiles. Context Field Configuration Administrators can now configure individual context fields per type with the following options: mark a field as required, set a field to read-only, define field display order, set decimal precis

Every process engineer has been there. A lab sample comes back out of spec, and now you're working backwards through twelve hours of data trying to figure out what went wrong. The investigation eventually finds something. Maybe a feed shift, a heat exchanger drift, a utility upset. By then the batch is already off-spec and the conversation in the morning meeting is uncomfortable.The goal isn't to investigate faster. It's to see the excursion coming. TrendMiner has the building blocks for predictive analytics in the standard toolkit, no ML Hub required. The workflow below turns one investigation into a soft sensor that runs continuously and warns you before the next excursion lands. Customers like Bayer (a 10% production capacity increase), Kuraray (30 hours of unscheduled downtime prevented) and CP Kelco (potential savings above $1M per year from process deviation reduction) have all turned this kind of analytical work into measurable operational outcomes.The path from excursion to sof

The TrendMiner version lifecycle policy is something many admins only discover after something goes wrong. This post explains what it means and what kind of support you can expect at each level. For the current list of supported versions and end of life dates, always refer to the TrendMiner Lifecycle page. Support levelsEvery major TrendMiner release has a support level associated with it. Minor versions always inherit the same support level as their major release.Full support (latest and latest − 1) : The two most recent major releases receive full SLA coverage. High-impact bugs and security issues are actively patched, and fixes for low-impact issues are included in the next release. Patches are released periodically — subscribe to the patch notification form to stay informed, or check the Patch Release Updates page directly.Upgrade support (at least 1 year after release date) : Once a version falls outside the two most recent releases, it enters upgrade support. Only upgrade-blockin

Enhance your TrendMiner dashboards with AI-generated video walkthroughs. Use Copilot-powered Clipchamp to quickly create professional videos that help users understand and get more value from your dashboard data. Step 1: Create a Clipchamp Video in SharePoint Step 2: Generate Your Video with AIWrite a clear description of your video's purpose and provide the script for your audio or on-screen text. Let Copilot AI do the heavy lifting—it will generate a polished, professional video in seconds. Once created, export it as an MP4 file, ready for embedding. Step 3: Embed as an External Content Tile in TrendMinerPreview your video in SharePoint to get the iframe source URL, then embed it as an external content tile in TrendMiner. 

 📌 BackgroundEvery production site collects and stores massive amounts of process data — far more than is typically analyzed. For engineers, gaining a holistic view of plant operations can be a daunting task.TrendMiner’s layer comparison and compare table features make it easy to visualize and quantify how different operating periods performed, side by side.By leveraging this functionality, users can quickly identify high-performing periods and understand which process conditions led to those results. 📌 ObjectiveUse historical data to identify ideal operating conditions by comparing performance over several time periods (for example, across months).With just a few clicks, TrendMiner users can: Compare key process variables over multiple months, Identify which periods performed best, and Spot potential process differences that may have led to underperformance.  🛠️ Solution1. Create a Layer for Each PeriodStart by selecting the process tags you want to compare — for example: Raw m

📣 If you missed our March 24th webinar, Optimizing Batch Processing Time and Increasing Daily Production with TrendMiner, the recording is now available and well worth your time. The session featured a compelling real-world from Mallard Creek Polymers, a specialty latex manufacturer, showing how their team used TrendMiner to reduce stripper cycle times by 10-20% and directly increase daily production output.Even better, an analysis that could have taken an engineer hours or days to complete, now takes about ten minutes to repeat.Find the webinar recording here 🔊  

 1. Overview To embed a TrendMiner dashboard into SharePoint Online using an iframe, two systems must allow the embed: TrendMiner – via Content Security Policy (CSP) frame-ancestors settings SharePoint Online – via HTML Field Security (allowed iframe domains) Both sides must be correctly configured for the embed to work. 2. Prerequisites A working TrendMiner environment (e.g. https://demo.trendminer.cloud) Access to TrendMiner ConfigHub (TrendMiner admin) SharePoint Site Collection Administrator rights   3. Step 1 – Allow SharePoint in TrendMiner (CSP / ConfigHub)TrendMiner uses CSP headers (specifically frame-ancestors) to control which domains are allowed to embed its pages. In TrendMiner, go to ConfigHub → URL Embedding. Add the domain(s) that will host the SharePoint page, for example: https://contoso.sharepoint.com Use only base domains, without paths or wildcards in the path. Valid examples https://example.com https://example.com/ https://*.example.com (matches

This tutorial guides you through pulling time series tag data from TrendMiner into Power BI or Excel using Power Query. It follows the same structure and authentication pattern as the TrendMiner ContextHub article, replacing the context item endpoint with the tag index data endpoint.We will cover the following steps:Finding the Time Series UUID of your tag. Setting up parameters to make the queries dynamic. Writing queries for API interaction. Configuring the output table. Step 1: Find Your Tag's Time Series UUIDThe API identifies tags by a UUID (Universally Unique Identifier), not by the tag name. You need to look this up once per tag. The easiest way is directly from the browser while using TrendMiner.How to Find the UUIDOpen TrendMiner in your browser (Chrome recommended). Open the Developer Tools by pressing F12, or right-click anywhere on the page and choose Inspect. Click the Network tab at the top of the Developer Tools panel. In the TrendHub, search for your tag in the “Search

TrendMiner’s PlantIntegrations can be installed as WebHost (IIS) or AppHost (self‑hosted). AppHost is a lightweight, simpler alternative that is easier to install, maintain and upgrade. While WebHost currently still provides more flexibility and security features. There is a difference in available features before version 2026.R1.0 and after 2026.R1.0 which is explained below. Deployment features before version 2026.R1.0: These are the most important differences between the two hosting options:Feature WebHost (IIS) AppHost (Self‑hosted) Installation IIS setup Simple exe, self‑contained Port configuration Flexible Fixed to 8001 Security TLS/HTTPS, Basic Auth Relies on network/proxy security Multiple instances X Single instance (fixed port) Best for Complex environments needing full control Lightweight setups or quick deployments  Summary: AppHost is currently ideal for small or lightweight setups, quick deployment, and simpler maintenance. WebHost is curr

You may notice that CPU and memory usage on a TrendMiner VM often stays low — sometimes below 25%. This raises the question: why do we have minimum recommend X GB RAM and X vCPU?Understanding Resource AllocationTrendMiner is a microservices-based application, where each component runs in its own pod within Kubernetes. Each pod has: Request: Minimum guaranteed CPU and memory. Limit: Maximum resources it can use under load. Kubernetes schedules (create & run) pods based on requests, not current usage. Even if a pod is idle most of the time, the VM must have enough capacity for all pods’ requests simultaneously. Visualizing the TrendMiner VMBelow is a simplified view of a TrendMiner VM hosting multiple microservices pods:  Each pod acts like a mini-VM running a single microservice. The TrendMiner VM acts like the hypervisor, guaranteeing resources for all pods at all times.Why Not Scale Down?Even if your TrendMiner VM doesn’t look busy, reducing CPU or memory can cause problems: Pod

If you’ve attended one of our VILT TrendMiner trainings, you’ve probably seen a popular workaround: creating a daily aggregation tag that looks discrete (a clean stepwise plot) and updates once per day at midnight. You may have also seen Natasha’s post where she discusses how to build the stepped daily tag.This is a simple but powerful technique when you want a tag that reports something like: Daily average Daily total Daily max/min Daily standard deviation Any other 24-hour aggregation you want to visualize as a “daily value” In training, we typically build this so the tag updates at midnight. But recently a user asked a great follow-up: can we build a similar tag that steps at a certain hour of the day instead of midnight?Good news! You can do this with a small modification to the same workaround. In this post, I’ll walk through this modified approach that lets you step your daily aggregation at the hour to your liking. Step the daily aggregation at 7:00 AM (or any hour)In th

 Collaboration is at the heart of successful industrial analytics. Over the past year, TrendMiner has transformed how teams share and manage their work, evolving from simple read-only sharing to a comprehensive collaboration suite. This article walks you through these improvements and shows you how to leverage them for more effective teamwork. The Journey: From Simple to Sophisticated Before 2025.R2: Read-Only SharingInitially, TrendMiner allowed users to share individual work items with read-only access. While this enabled knowledge sharing, it had limitations: recipients could view analyses but couldn't contribute or modify them, making true collaboration difficult for teams working across shifts or locations.2025.R2: Write PermissionsThe August 2025 release marked a significant milestone by introducing Write Permissions. Users could now grant colleagues write access to work items, enabling multiple team members to actively collaborate on the same analysis. This was particularly valu

This Functional Tips & Tricks post was inspired by a Community question from Yves - the question can be found here. Creating a Time Proxy Tag with Custom Calculations In TrendMiner, scatter plots and regression tools require numeric X- and Y-axes. While most process tags (temperature, pressure, flow, etc.) are already numeric, time itself is not. This creates a challenge when you want to perform a linear regression of a tag versus time.To solve this, we create a time proxy tag: a numeric tag that increases as time progresses over a defined window. Once this tag exists, it can be used on the X-axis of a scatter plot against any process tag on the Y-axis, enabling linear regression and trend analysis. Why a Time Tag Is Required TrendMiner’s scatter plots do not allow timestamps directly on the X-axis. Instead, both axes must be numeric tags. Therefore, to analyze temperature vs time, we must first convert time into a numeric variable.This numeric time tag: increments as time advances

TrendMiner’s new webhook implementation allows users to alert an external system such as SAP, Microsoft Teams and potentially other platforms when certain events happen (i.e. when a TrendMiner monitor is triggered).Beyond sending custom messages, webhooks can also initiate automated workflows or processes in external systems, such as creating work orders, submitting maintenance requests, or triggering other actions.The example below shows how a TrendMiner monitor can detect the start of a new batch and automatically post notifications to a Microsoft Teams group, both at batch start and upon batch completion.If you are interested in learning more and are interested in this new webhook integration available in 2025.R3 or newer, reach out to your CSM and/or Account Manager.Step 1: Define a Context Item Type (for example, Epoxy Resin Batch). Step 2: Create & save a value-based search that reliably detects when a batch starts and ends.Step 3: Configure a TrendMiner Monitor to automatica

When you add a link in the DashHub text tile, by default it will open up in a new tab. If we were to look into the actual html content that is saved in the tile when we create a link via the editor, it will look something like this:<p><a href="https://cs.trendminer.net/dashhub/#/dashboard/599f8acf-690e-4034-8811-d596ac826d25?mode=presentation" target="_blank">test</a></p>This represents a link with the text 'test', which links to another dashboard. The target="_blank" means it will open up in a new tab.If we want the link to open up in the same tab, this target would need to be replaced "_self", or be left out entirely. Unfortunately, the text tile editor does not allow us choose the target, or edit the html directly.A trick I learned from a user recently though, is that a URL copied from certain other places, will have the target omitted, thus opening in the same tab. This is true for browser bookmark links, for example. A quick workaround I now use to have a l