TrendMiner Self-service Industrial Analytics
TrendMiner is based on a high-performance analytics engine for data captured in time series. With TrendMiner Industrial Analytics Software, process engineers and operators can easily search for trends and question their process data directly – without help from a data scientist.
TrendMiner delivers all you need to analyze, monitor, and predict the performance of batch, grade, and continuous plants.
Talk to a specialist today and discover how easy it can be to get started.
Analyze
When there’s a process problem, you need fast answers. That’s exactly what TrendMiner is designed to deliver. With a high speed search engine, advanced filter options and patented pattern recognition technology, you get data-based insights that are actionable. Our self-service analytics platform speeds up your root cause analysis and help you identify new areas for process and asset optimization…
Monitor
Your data never sleeps – and neither does our software. With TrendMiner you can monitor live processes 24/7 and receive automatic notifications for events of interests. Automatically capture knowledge to speed up response times and improve collaboration between teams. Avoid abnormal situations and automate routine data inspection tasks with the click of a button…
Predict
Why react when you can predict the future instead? Our interactive and model-free predictive mode is based on patent-pending technology and works in a fundamentally different way than model-based predictive technologies. Based on all available historical data, TrendMiner users can predict future evolutions of batch runs, transitions or equipment startups in minutes…
Contextualize
Make better decisions, faster with contextualization of time-series data. Context can be captured automatically via monitors, manually added or disclosed from other business applications. With TrendMiner you can illuminate your time-series data with context, to get a clear view on operational behaviour and improve operational excellence faster.
Dive Deeper Into Our Industrial Analytics Software
Key Capabilities
Discover the descriptive, discovery, diagnostic, and predictive analytics capabilities of TrendMiner analytics. Learn how our self-service solution supports collaboration, knowledge sharing, and how our data visualization helps users solve “unsolvable” cases.
Historians & Connections
TrendMiner fits easily into your existing IT landscape, and comes with plug and play connections for your existing data infrastructure and easy API integration. View the standard connections with data historians and relational databases that TrendMiner offers.
Industries Served
We may have started out in the chemical industry, but today our analytics solution is used by companies in a wide range of process industries including Chemical, Petrochemical, Oil & Gas, Pharmaceutical, Metals & Mining, Food & Beverage, Utilities, and others.
Additional Resources
Download TrendMiner’s most comprehensive resource
Get the most comprehensive resource about TrendMiner software and discover in-depth information about all the features and functionality within our software. It introduces the complete TrendMiner solution, provides practical examples of how it contributes to process performance at all levels, and shows how this supports the journey to digital transformation.
Watch an in-depth webinar introduction
In this updated introductory video, we discuss how to empower process and asset experts with existing data to analyze, monitor and predict process performance, without depending on data scientists. Using practical examples, we’ll also demonstrate 5 ways to improve your production process with self-service analytics.
See how customers worldwide are benefitting
Discover the real-life applications of self-service process analytics and the difference that actionable data can make in daily tasks. Looking at real use cases, we will show 4 practical examples of how our software can help you can gain quick insights to inform decision-making and improve equipment availability.
“TrendMiner aids a best-in-class 40% improvement in plant resource efficiency through its process and asset data analytics.”
Sharmila Annaswamy
Frost & Sullivan Senior Research Analyst
TrendMiner – Winner of the 2017 Frost & Sullivan Entrepreneurial Company of the Year Award
Blog Posts
Low-code and No-code AI & Analytics Solutions Yield High-Value Use Industrial Use Cases13 September 2024 - 15:19- Building a Foundation for AI & Analytics with an Industrial Data Fabric30 August 2024 - 23:12
- TrendMiner’s 2024.R2 Release; A Complete Platform to Facilitate Event Analytics and Operationalize Industrial Data8 August 2024 - 16:38
