This use case shows how TrendMiner enabled predictive maintenance to control fouling, reduce costs and reduce risks with self-service industrial analytics.
Learn how TrendMiner helped engineers identify a bottleneck that was preventing consecutive grade production and created a 16% efficiency gain.
Discover the keys to succeeding with analytics by creating value using process and asset analytics, learn how to avoid failures, grow your analytics maturity and explore best practices to start using analytics.
Customer Success Presentation: Sitech`s Industrial Analytics JourneyConference Presentations, Customer Success Story, Past event webinar, Videos Video CDO (Chief Digital Officer), Plant Manager, Process Engineer Intermediate Employee Efficiency, General, Operational Performance, Predictive Maintenance Chemical Success Stories
In this webinar, Marc Pijpers of Sitech shares 3 real-life use cases that show how Sitech used (predictive) industrial analytics to contextualize asset performance with process data.
In this webinar, TrendMiner founder Bert Baeck explains how to start leveraging all the data that your factories generate today to enable digital transformation in practice.
In this webinar we show the real-life applications of self-service process analytics. You’ll see the difference that actionable data can make in day-to-day tasks and decision-making. Looking at real use cases, we will show 4 practical examples of how you can gain quick insights to inform your decision-making and improve equipment availability.
Customer Success Presentation: Why Total uses TrendMiner self-service process analyticsConference Presentations, Customer Success Story, Past event webinar, Videos Video CDO (Chief Digital Officer), Plant Manager, Process Engineer Intermediate Digital Transformation, Employee Efficiency Oil & Gas Success Stories
In this video of the live presentation at an OSIsoft User Conference, Fabrice Leclercq of Total R&C goes into the details, showing how Total uses TrendMiner software to improve overall equipment effectiveness at Total R&C, collect, analyze and interpret historian data and predict performance based on historical similar situations.