Empower process and asset experts with advanced analytics to Analyze, Monitor, and Predict the operational performance of batch, grade, and continuous manufacturing processes.
Empower process and asset experts with advanced analytics to Analyze, Monitor, and Predict the operational performance of batch, grade, and continuous manufacturing processes.
TrendMiner is an intuitive web-based self-service analytics platform for rapid-fire visualization of time series-based process and asset data.
Available as SaaS, On-premises, or Private cloud solution, the TrendMiner plug and play software adds value immediately after deployment. It enables cross-site teams to collaborate, learn and improve the overall performance of all production facilities.
We’re excited to announce that TrendMiner has been named an Industry Leader, High Performer, and High Performer – Enterprise.
Thank you to all our users for sharing their experiences with TrendMiner.
More and more data is being gathered daily from instruments, sensors, and devices.
Advanced analytics requires expert knowledge of the asset and process behavior.
Your company’s process engineers are not data scientists and vice versa.
Improving the profitability of your company requires acceleration of change.
Search, as easy as using Google for process behavior in the past. Diagnose by instantly finding similar behavior with use of our patent pending pattern recognition technology and find root causes to improve your processes.
Define optimal processes and set fingerprints to monitor production. These can be used to send out automated early warnings to control room staff in case of deviation, or to capture feedback and leverage knowledge across sites.
Why react when you can predict the future instead? Use our soft sensor builder, early warning discovery or a unique model-free predictive mode to predict quality, maintenance or future evolutions of batch runs and transitions.
Context can be captured via monitors, manually added, or via business applications. Now you can illuminate your time-series data with context, to get a clear view of operational behavior and improve Operational Excellence faster.
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