In this webinar, we will explain how TrendMiner can be used in each phase of the DMAIC cycle. Along a practical use case we show how specific key capabilities are applied in each phase.
In this presentation from the 2018 ARC Industry Forum, Renzo Rondags explained how DSM Dyneema is becoming a data driven organization (Industry 4.0) and their operations department is rapidly transforming by using TrendMiner.
For globally operating organizations, a scalable, centralized environment that enables fast advanced analytics is needed to enhance operational excellence.
In his presentation, Norman will discuss how TrendMiner’s self-service analytics on top of OSIsoft PI helps their production facility to gain deeper insight in operational performance.
This video introduces how to use self-service analytics for batch production and the actual benefits that can be achieved. See how a single analytics solution could help you speed up root cause analysis, identify optimal process behavior, monitor and get alerts for deviations in process behavior using your golden batch.
In this live presentation from the OSIsoft User Conference 2017 in London, Tim Timmermans discusses the industrial analytics journey of Covestro Antwerp.
Customer Success Presentation: Ashland analytics for the factory of tomorrowConference Presentations, Customer Success Story, Past event webinar, Videos Video CDO (Chief Digital Officer), Plant Manager, Process Engineer Beginner Digital Transformation, Operational Performance Chemical Success Stories
In this webinar, Jan Mereleire shows how Ashland uses TrendMiner self-service analytics to support the transformation and digitalization of their chemical processing plant.
Discover the 5 keys to achieving digital transformation success with TredMiner co-founder and former CEO, Bert Baeck.
In this whitepaper, ARC Principal Consultant and Lead Analyst Janice Abel explains how Total Refining & Chemicals (Total R&C) combined real-time process data from OSIsoft with TrendMiner’s self-service process and asset analytics software to achieve measurable success.
This use case shows how TrendMiner analytics helped engineers assess batch run quality and take corrective action sooner for optimal production efficiency.