TrendMiner, a Software AG company, delivers self-service data analytics to optimise process performance in industries such as chemical, petrochemical, oil and gas, pharmaceutical, metals & mining and process manufacturing. Turning big industrial data into actionable information may seem like a huge task - but we make it easy.
Our software is designed to deliver results fast. No more waiting on long project cycles. No data scientist required to interpret the "black box" of analytics. Just instant, accurate insights and trustworthy answers to your day to day questions. The plug-and-play capability means you get added value immediately after deployment, eliminating the need for infrastructure investment and tedious implementation projects.
TrendMiner software meets the high demands of time-series industrial analytics - but is designed to be used by non-data scientists. Data is automatically visualised in easy to understand displays and dashboards, helping non-data scientists to understand what it means and share their knowledge.
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 optimisation.
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.
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.
Make better, faster decisions when you contextualise your 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 an clear view on operational behaviour and improve operational excellence faster.
All events automatically captured or manually entered can be managed as context items in TrendMiner’s ContextHub. With use of fingerprints and monitors, the context items can be captured and help speeding up the search and filter actions in time-series trend data.
Using algorithms similar to those employed by Amazon to supply recommendations based on user behaviour, TrendMiner can track entire process lines to provide users with quick-fire recommendations they need to diagnose the root causes behind process issues. With more rapid and greater insight into their processes, process and asset experts will be very well placed to correct process and equipment issues early, and potentially avert crisis
Leverage data from your business applications. As the digitisation of organisations continues, more business-critical information sources are available, but often remain in silos. TrendMiner’s ContextHub brings all this information together in its self-service analytics platform, enabling true data-driven decisions for improving overall profitability.
