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Contextualize

Make better decisions, faster

Capture

All kinds of events may impact operational performance. Capturing and combining critical events with time series analytics will shed new light on your production process. This context helps you shift performance to the next gear.

Unlock

Illuminate your time-series data with context, to get an clear view on operational behaviour. Contextual information may reside in various data silos, such as your LIMS, MMS or OEE system.

Decide

Captured contextual information can be leveraged for data driven decisions in the control room and can be the starting point for continuously improving operational excellence through self-service analytics.

Capture events of interest

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.

Context items allow commenting for discussion with internal experts to facilitate global collaboration and knowledge sharing.

The context items can be classified by type and each could have specific notifications for control room personnel to take appropriate action.

OSIsoft PI Event Frames Integration

TrendMiner’s integration with OSIsoft Asset Framework, enables out-of-the box access to both historical and new Event Frames for OSIsoft PI System users and others. These ecosystem synergies give OSIsoft customers a much easier way to gain access to Event Frames information, click through the related information, and kick-start their discovery and diagnostic analysis to continuously improve operational excellence.

Learn how to apply OSIsoft PI Event Frames for Batch Analytics or for Continuous Production

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LEVERAGE DATA FROM YOUR BUSINESS APPLICATIONS

As the digitization of organizations 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. Engineers can see which plant assets experience the most downtime, by easily gathering available data and analyzing the worst performer, allowing decisions to be based on data and reducing the reliance on a best guess.

Smarter Analytics through Contextualization

Being able to search for context items gives users the power to actively employ gathered context as part of the TrendHub analysis itself. Through saved ContextHub views users can visualize, filter or overlay time periods in TrendHub. In this way context items become a rapid starting point for trend analysis, and facilitates filter requirements through all-time series data. This effectively speeds up root cause analysis or if needs be, create new fingerprints and monitors which can be used to send notifications to the control room and adjust process parameters when necessary.

Watch How To

Benefit of Combining Time-series Sensor Data With Contextual Data

Watch Our Webinar on Demand

“Process data tells stories – all you need to do is capture them.”

Tim Timmermans
Operational Expert

Learn more about this use case

Learn more about TrendMiner software

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 speed up your root cause analysis and help you identify new areas for optimization.

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Monitor

Your data never sleeps, neither does our software. With TrendMiner you can monitor live processes 24/7 and receive notifications for events of interests. Automatically capture knowledge to speed up response times, improve collaboration between teams, avoid abnormal situations and automate routine data inspection tasks with a click of a button.

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Predict

Why react when you can predict the future? 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 can predict evolutions of batch runs, transitions or equipment startups in minutes.

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White Paper

Dive deeper into TrendMiner software with our Key Capabilities whitepaper. In this comprehensive resource, we provide an overview of our industrial analytics solution and how it works. In addition, you’ll get further information about all the capabilities of our software, as well as details about the business applications and data sources with which we offer integrations.

Get the Whitepaper

TrendMiner - Product of the Year Grand Award

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Blog Posts

  • Customer Spotlight: How Umicore’s Dave Carpels Led the Way for TrendMiner Adoption 7 April 2021 - 00:03
  • TrendMiner’s Coach Program – a Change Management Approach for Supporting Its Users29 March 2021 - 17:29
  • Software AG’s alliance with SAP will combine SAP’s S/4HANA Cloud with Software AG’s TrendMiner17 March 2021 - 18:53

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