TrendMiner Announces the Next Level Self-service Advanced Analytics for Root Cause Analysis

The Long-Term OSIsoft Partner Will Unveil Extended Capabilities to Support PI Event Frames and Preview Their Latest Software Enhancement, DashHub, at the Flagship Event

TrendMiner NV, a Software AG company and provider of the leading self-service predictive analytics software, announced today that they will be previewing the latest functionalities coming in their 2019.R2 release at OSIsoft PI World 2019, taking place April 8-12 in San Francisco. The 2019.R2 release will be the company’s second software update of the year which again demonstrates their commitment to further equip and empower subject matter experts, such as process engineers and control room operators, to make data-driven decisions.

Next Level Self-service Advanced Analytics

TrendMiner allows model-free advanced analytics of sensor generated time-series data, and PI World attendees will gain a sneak peak of some of the latest enhancements to their software that will arrive mid-April in the 2019.R2 release. One of the previews will include a demonstration of their brand new platform, DashHub. With DashHub, process behavior on specific KPIs can be monitored and trends of key sensor data can be viewed in a quick and convenient way; enabling  fast root cause finding and action taking when issues or losses occur.

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Contextualization of Time-Series Data

The recently introduced ContextHub, sister hub to TrendMiner’s TrendHub and brand new DashHub, is a platform specifically created to house information critical to making sense of time-series data. It is a comprehensive repository, powerful search engine and intuitive collaboration platform for context items that can be neatly aligned to assets, processes and events. This platform can be configured to organizational requirements so that the context itself becomes a powerful new dataset that can be both visualized and analyzed side by side with your time series data. Integrated with DashHub, context can now be used as a real time monitor for process issues and failures.

“Context data can be anything ranging from simple comments and observations, laboratory and quality data from a LIMS system, maintenance work orders from ERP, historical OEE information, or anything that lives in a database somewhere. TrendMiner is committed to supporting our customers in developing the data models and integrations needed through our parent company, Software AG. Software AG has extensive expertise in business integrations with the high valued WebMethods platform. The demonstrations we will be giving at PI World are just a small glimpse into the possibilities of bringing all your plant critical information into one place for analytics.”
Nick Petrosyan, TrendMiner Data Analytics Engineer

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TrendMiner Cloud Services for Advanced Analytics

In addition to TrendMiner’s new software updates, integration capabilities with long time partner, OSIsoft, are expanding also. OSIsoft has developed a set of Cloud Services to support an easier and closer integration between their customers and partners (such as TrendMiner) for delivering applications that require real-time capture, processing, and sharing of very large numbers of asset and operational data. TrendMiner’s high performing, highly scalable analytics engine is a perfect fit to the OSIsoft Cloud Services environment. Engineers and operators can now use their software in the cloud to easily identify trends in their production processes to optimize both efficiency and quality.

“TrendMiner supports various deployment options, including on-premise, private and public cloud. With support for OSIsoft Cloud Services we enable process industry to use  a fully cloud based solution for self-service advanced analytics. This perfectly aligns with  our philosophy  “Freedom as a Service”. Being part of the Software AG family we are looking forward to tighten our relationship with OSIsoft to accelerate the digital transformation of our mutual customers.”
Thomas Dhollander, co-founder and Chief Technology Officer at TrendMiner

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