TrendMiner NV, a Software AG company, announces the release of TrendMiner 2018.R1.
TrendMiner is an self-service industrial analytics platform for time-series process and asset data. The TrendMiner platform is employed by many companies over a range of process manufacturing industries, including; chemical, oil & gas, pharmaceuticals, metals & mining, utilities and power generation.
TrendMiner enables process and asset experts to analyze, monitor and predict operational performance. The latest TrendMiner release delivers functionality to these subject matter experts by providing power for the discovery of root causes behind process issues, identifying optimal process conditions and maintaining best practice. TrendMiner’s capabilities will equip users with tools to improve operational performance, and facilitate communication of important outcomes to all stakeholders who need to know.
Using algorithms similar to those employed by Amazon to supply recommendations based on user behavior, TrendMiner can track entire process lines to provide users with quick-fire recommendations they need to diagnose the root causes behind process issues.
In the latest 2018.R1 release, TrendMiner’s recommendation capability has been further extended with the addition of the fingerprint deviation tool. The Recommendation Engine suggests interesting tags to consider based on deviations from their expected and defined dynamic behavior. This can, for example, be used to find root causes in case of deviations from the golden-batch profile or performances outside best operating zones. With the recommendation features of TrendMiner, new root causes can be found and mitigated.
TrendMiner discloses data analysis possibilities and users are investigating a wide range of operational production behaviors. The “Work Organizer” creates an environment that supports a method to organize analytical outcomes in user views by projects, by asset or any other preferred structure. The key enabler of this feature is its provision to create and manage folders to organize user views.
For more information, visit TrendMiner website.
