Learn how self-service analytics helps ARLANXEO perform better analyses, optimize maintenance, increase environmental benefits, and save operational costs.
In this updated introductory video, Jeroen De Wolf discusses how to empower process and asset experts with existing data to analyze, monitor and predict process performance, without depending on data scientists.
In his presentation Jasper Rutten will talk about the Huntsman analytics journey and how self-service analytics helps to make process and asset experts contribute to corporate operational goals.
In this ebook, we will share five key learnings from some of our most successful customers in order to help you drive your self-service analytics journey towards success.
In this webinar we will introduce the analytical benefits of combining time series sensor data with contextual data. You will see how you can use captured events as a starting point to continuously improve your production facilities.
In this presentation, Jan Spijkerman and Tom Wassink discuss their Operations and Manufacturing IT strategy, the role OsiSoft and TrendMiner had in their digital transformation, and the challenges they faced.
In this presentation, Manu de Block will discuss the industrial analytics journey of DEME and how with the advanced analytics capabilities of TrendMiner, users were able to assess many dredging related hypothesis. Insights gained with use of the historical data greatly increased the understanding of local dredging situations and adapt the project approach.
In this webinar we will explain how self-service analytics can be applied to each production site, so they can run Operational Excellence programs autonomously with just a little bit of support from the central group.
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.