TrendMiner
Canvas Category Software : Information Technology : Data & AI
TrendMiner is an intuitive web-based self-service analytics platform for rapid-fire visualization of time series-based process and asset data.
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Proemion Holding GmbH Agrees to Acquire TrendMiner NV to Expand Industrial Asset-Monitoring and Analytics Platform
Proemion Holding GmbH, a global provider of advanced data and analytics technology for mobile industrial assets, announced an agreement to acquire TrendMiner NV, an industrial analytics company, from Software AG. TrendMiner’s technology is used across industries including chemicals, oil and gas, pharmaceuticals, power generation, food and beverage, and high-tech manufacturing.
The spinout and acquisition of TrendMiner, based in Belgium, will significantly expand Proemion’s existing analytics capabilities for critical industrial equipment, which help equipment manufacturers and operators gather machine data remotely and continuously to maximize uptime and performance. TrendMiner produces a complementary, web-based, self-service analytics platform for monitoring critical equipment inside complex industrial environments. The technology allows teams to collaborate, learn and improve the overall performance of all production.
Learnings from the global roll-out of a self-service data analytics tool at LANXESS
Discover the transformative journey of LANXESS, a global specialty chemicals conglomerate, as it integrates TrendMiner, a cutting-edge analytics platform, into its operations. From humble beginnings at a local plant to a global digital transformation, this video explores the strategic implementation, challenges, and successes of rolling out TrendMiner across diverse and widespread facilities.
Advanced Analytics at BASF with TrendMiner
Through an insightful case study on monitoring instrument air pressure and flare flows, Rooha Khan highlights how TrendMiner’s platform effectively optimizes manufacturing processes. Witness the tangible value BASF has discovered by harnessing the capabilities of industrial data analysis and monitoring, and be prepared to embrace the transformative possibilities of digitalization.