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.

DSM-Dyneema’s-Road-to-a-Data-Driven-Organization

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.

Industrial-analytics-transforms-CP-Kelco-to-embrace-the-future

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.

Covestro-leverages-OSIsoft-PI-to-the-max

In this live presentation from the OSIsoft User Conference 2017 in London, Tim Timmermans discusses the industrial analytics journey of Covestro Antwerp.

Ashland-–-Analytics-for-the-factory-of-tomorrow

In this webinar, Jan Mereleire shows how Ashland uses TrendMiner self-service analytics to support the transformation and digitalization of their chemical processing plant.

TrendMiner Digital Transformation ebook

Discover the 5 keys to achieving digital transformation success with TredMiner co-founder and former CEO, Bert Baeck.

ARC whitepaper

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.

Use case: Compare current batch to golden batch fingerprint

This use case shows how TrendMiner analytics helped engineers assess batch run quality and take corrective action sooner for optimal production efficiency.