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 and get a practical example on how to use context to speed up Root Cause Analysis.
This use case shows how TrendMiner identified the root cause that was preventing consecutive grade production. Learn how this decreased overhead costs, reduced downtime and delivered a 16% efficiency gain.
This use case shows how TrendMiner monitoring enabled predictive maintenance to control fouling in a heat exchanger. Learn how this led to lower operational and maintenance costs and reduction of safety risk.
This use case shows how TrendMiner solved a distillation column trip that was causing an automatic process shutdown. Learn how this improved overall equipment effectiveness, and reduced costs and safety risks.
This use case shows how TrendMiner helped engineers assess batch run quality using golden fingerprints. Learn how this enabled faster corrective action and enabled production at best proven efficiency levels.
Learn how a self-service approach allows process engineers and subject matter experts to analyze, monitor and predict process performance without depending on data scientists. Using practical examples, we’ll also demonstrate 5 ways to improve your production process with self-service analytics.
Discover the real-life applications of self-service process analytics and the difference that actionable data can make in daily tasks. Looking at real use cases, we will show 4 practical examples of how you can gain quick insights to inform decision-making and improve equipment availability.
Forget the hype and the buzz words – discover the real benefits of using big data for industrial process analytics. In this webinar, Bert Baeck cuts through the hype to focus on the practical issues: how to start leveraging all the data that your processes generate to enable digital transformation in practice.
Learn how to make your analytics implementation a success with Joan van de Wetering. Hear key considerations for analytics projects and how to avoid barriers to success, plus how to chart an effective roadmap to uncover value in your existing data during digital transformation.
Learn how to use self-service analytics for batch production and the actual benefits that can be achieved. See how a single solution can help you speed up root cause analysis, reduce cycle times, monitor optimal process behavior and get alerts for deviations using your golden fingerprints.
Artur Beyer explains how you can fuel your Continuous Improvement projects by combining the Six Sigma DMAIC cycle with self-service industrial analytics, allowing subject matter experts such as process engineers to continuously contribute to operational excellence.
In Part II of this series, learn how self-service analytics can be applied to each production site, so Operational Excellence programs can run autonomously, with just a little bit of support from the central group.
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.