Product News: Software AG's TrendMiner NextGen

April 27, 2022
Vendor agnostic production client to boost productivity for operators, engineers, and data engineers.

TrendMiner, a Software AG company, has launched what it touts as the next generation production client for industrial analytics. TrendMiner NextGen, the 2022.R1 release, provides a seamless user experience, per its maker, enabling an extended pool of operational experts to make data-driven decisions and optimizing the performance of their operations to meet business, environmental, and safety ambitions.

TrendMiner NextGen brings operational insights to anyone in an organization, regardless of their level of analytics training, notes Software AG. Users can do anything from basic trend viewing to advanced diagnostic, predictive, and prescriptive analytics using machine learning and artificial intelligence.

Nick Van Damme, director of products at TrendMiner, said, "Thousands of users are working with TrendMiner every day. Their experiences, feedback, and requirements have led to this new production client for the process manufacturing industry. Every company around the world tasked with scaled production relies on (time-series) data to understand, manage, and optimize their operations. 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 game-changer 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, says its maker. 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, they say. TrendMiner gives instant answers to know what has happened, how often, and why. Searching, filtering, coloring, switching, and comparing trend views offers a quick production performance overview.