Software AG’s TrendMiner NextGen Tackles Industrial Analytics
”Advanced analytics for all” mission drives user-centric innovation to support a wider range of analytics use cases.
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TrendMiner, a Software AG company, has launched its next-generation production client for industrial analytics. TrendMiner NextGen, the 2022.R1 release, provides a seamless user experience. It enables an extended pool of operational experts to make data-driven decisions and optimizes the performance of their operations to meet business, environmental, and safety ambitions.
Many companies still use a historian (database) trend client or spreadsheets to visualize and analyze time series data to understand production performance. TrendMiner NextGen brings operational insights to anyone in an organization, regardless of the level of their analytics training. Users now can do anything from basic trend viewing to advanced diagnostic, predictive, and prescriptive analytics using machine learning and artificial intelligence.
“Every company around the world tasked with scaled production relies on (time-series) data to understand, manage, and optimize their operations.” Nick Van Damme, director of products at TrendMiner, said. “The challenge is harnessing the value of data without having to recruit and retain large and highly skilled IT and data science teams. TrendMiner NextGen makes insights from production data instantly available to ALL operational experts that need it, at the touch of a button, and that’s a gamechanger for our customers.”
TrendMiner enables production experts in process manufacturing industries to visualize and analyze production performance using sensor-generated, time series data in combination with contextual event information. The 2022.R1 release distinguishes itself from other trend clients by its easy-to-use method of searching through thousands of sensor readings over years of data. TrendMiner gives instant answers to questions about what has happened, how often, and why. Searching, filtering, coloring, switching, and comparing trend views offers a quick production performance overview.
Today, engineers are not satisfied with trend viewing only. Operational experts like to know why certain process issues occurred. TrendMiner provides statistical and machine learning capabilities under the hood to find potential root causes for process anomalies quickly and within their full operational context. Contextual data includes information generated by users, TrendMiner monitors, or third-party business applications (such as batch management systems, quality management systems, or maintenance management systems). Global operating process manufacturing customers can be sure TrendMiner meets their security requirements with its “Secure by Default” and “Secure by Design” approach.
For detailed information about the improvements in the TrendMiner 2022.R1 release, please visit www.trendminer.com.