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 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 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.
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.
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.
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.
