Training
Overview
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 and Intermediate guides that will help you to solve process issues, investigate process improvements, and monitor your processes more effectively than ever before.
Basic Guides
Guide | Task |
|---|---|
General Introduction | What is TrendMiner, search and editing tags and navigating through time. |
Get your process statistics (Bas) | Obtain the statistics of a defined period and exclude unwanted periods. |
Detect, warn & contextualize anomalies and process events (Bas) | |
Create your actionable dashboard (Bas) | Create a live view of the main variables and create a dashboard with trends and current values. |
Troubleshooting (Bas) | Evaluate the frequency and impact of an anomaly and define and compare good and bad periods. |
Create your own KPIs and variables (Bas) |
Intermediate Guides
Guide | Task |
|---|---|
Get your process statistics (Int) | Determine asset downtime and stoppage percentage during defined period and create a KPIs report. |
Detect, warn & contextualize anomalies and process events (Int) | Contextualize past and future events, and visualize KPIs during contextualized event. |
Create your actionable dashboard (Int) | Get 360 view of anomalies and create a live monitor warning icon & message. |
Trouble Shooting (Int) | Find linear correlations, similar periods and multi-period correlations |
Create your own KPIs and variables (Int) |
TrendMiner Features
Looking to learn more about TrendMiner?
We have series of feature explainers available for you to work through in your own time. The purpose of these explainers 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 cherry pick the topics you feel you would like to learn more about.
For a 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 - Overview
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.
Introduction to TrendMiner
The Introduction to TrendMiner will provide you a high level overview of TrendMiner, its purpose, the data types used and its asset structure.
TrendHub - 1
TrendHub 1 - 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, you will be able to retrieve, prepare, search, analyze and monitor your process data.
TrendHub - 2
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.
TrendHub 2 - 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.
ContextHub - 1
ContextHub 1 - 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, you will be able to create and manage meaningful context to your data.
ContextHub - 2
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.
ContextHub 2 - 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.
MLHub
The MLHub explainers provide a high-level overview of Machine Learning 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, you will be able to manage, understand and apply TrendMiner’s MLHub.