Training
Guides
If you are a process expert such as an engineer, operator, or process manager, TrendMiner will give you quick access to your process data and provide the tools necessary to analyze data without the need for an extensive data science background.
See below a few basic guides that will help you to solve process issues, investigate process improvements, and monitor your processes more effectively than ever before.
Guide | Task |
|---|---|
Create your actionable dashboard | Create a live view of the main variables and create a dashboard with trends and current values. |
Get your process statistics | Obtain the statistics of a defined period and exclude unwanted periods. |
Detect, warn & contextualize anomalies and process events | |
Create your own KPIs and variables | |
Troubleshooting | Evaluate the frequency and impact of an anomaly and define and compare good and bad periods. |
Advanced Training
English | German | Spanish | French
1 hour training on a variety of intermediate level topics.
Click here for a full overview of topics, including recording links and slide decks.
TrendMiner - Basic Training Series (English)
A variety of bite size training (~5 mins) on basic functionalities and a couple of short demos. Suitable for beginners.
For versions before 2022.R1.0 you can find the playlist via this link.
Tutorial Thursdays (English)
Our Global Head of Customer Success, Frederick Motte, walks you through a variety of practical topics from creating an emissions dashboard to managing & cleaning context items and much more. Suitable for both beginner and intermediate users.
A series of short 5-10 minute introductory training in Chinese.
TrendMiner Intermediate/Advanced Training
Is Tag Builder Only For Experts? - Wrong!
Dates: 12 March (English), 13 March (Spanish, German)
Join and learn how to count events directly in the focus chart, determine the number of events within another event and the time loss. This course focuses on creating formulas, the statistics table and the value-based search with the ability to add calculations, refine search results, and create filters.
Users can register via the links below: (Users who are not able to attend the webinar on that day can still register to receive the recording afterward.)
e-learning courses
Looking to learn more on TrendMiner?
We have six elearning courses available for you to work through in your own time. The purpose of these courses is to provide you a spring board to TrendMiner's suite of tools and how they can be employed. These are not formal courses with certifications, so feel free to complete the courses or cherry pick the topics you feel you would like to learn more about.
These courses do not cover the complete suite of TrendMiner capabilities. For a more complete overview of TrendMiner capabilities, look to the TrendMiner Help Center. There you will find content that will help you build on what you learn here.
TrendMiner is a self-service analytics platform that helps you unlock the full potential of your process data by providing process experts, such as engineers and operators, the right tools to analyze data and diagnose process issues without the need for an extensive data science background.
The Introduction to TrendMiner course will provide you a high level overview of TrendMiner, its purpose, the data types used and its asset structure.
The TrendHub - Basic Course provides a jump-start into the basic operation of TrendHub and its relationships with ContextHub and DashHub. Short videos and demonstrations of key basic tools will provide you with fundamental knowledge of the TrendHub platform, so by the end of the course, you will be able to retrieve, prepare, search, analyze and monitor your process data.
TrendHub empowers operators, engineers and other domain experts to visualize historical and real-time process data and dive into data to analyse, diagnose and predict production or equipment issues, based on the well-known and powerful capabilities of the TrendMiner analytics engine.
The TrendHub Advanced Course will help you become familiar with advanced workings of TrendHub with relation to both DashHub and ContextHub, and enable you to become self-sufficient in its management.
The ContextHub Basic Course will provide a jump-start into the basic operation of ContextHub and its relationships with TrendHub and DashHub. Short videos and demonstrations of key basic tools will provide you with fundamental knowledge of the ContextHub platform, so by the end of the course, you will be able to create and manage meaningful context to your data.
TrendMiner's ContextHub is a detail factory, repository and search engine for Context Items that can be neatly aligned to both assets and processes. ContextHub is a platform in its own right and can be configured to requirements, so that context itself becomes a powerful new dataset that can be both visualized and analyzed. Events can be automatically captured, manually entered or easily imported from external business solutions, such as; Laboratory Information Management Systems, Maintenance Management Systems and OEE systems, thus maximizing the flexibility of contextual information crucial to today's self-service visual analytics.
The ContextHub Advanced Course will help you to become familiar with advanced workings of ContextHub with relation to both DashHub and TrendHub and enables you to become self-sufficient in its management.
The MLHub Basic Course provides a high-level overview of Machine Learning for Operations experts, and TrendMiner’s Machine Learning Hub (MLHub). First you will receive an overview of what you can expect from democratized machine learning and its value for an open-source community, in data collection, modelling, sourcing, dashboarding and reporting. This is followed by a short series of generic application demonstrations using TrendMiner’s MLHub and a short series of more specific operational applications. By the end of this course, you will be able to manage, understand and apply TrendMiner’s MLHub.