Webinar on Demand

Batch process analytics with TrendMiner

How self-service analytics can optimize batch production

Duration: 60 minutes

Batch process manufacturers constantly look for new ways to improve throughput and increase quality in order to remain competitive. To achieve this goal, they need practical and proven solutions that can help them to identify bottlenecks and root causes in order to optimize production.

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.

Watch this video to learn:

  1. The importance of industrial analytics for batch operations
  2. Common operational challenges in practice
  3. Use cases – how to solve challenges and deliver value
  4. Live software demonstration – see the whole process in action
  5. The strategic value TrendMiner can deliver when used in the context of batch analytics

About Speaker


“The value that TrendMiner generates is the catalyst for Industry 4.0 in the process industry”

“My greatest satisfaction comes from helping customers drive innovation and create value from it.”

Artur Beyer is a chemical engineer with a passion for helping companies to improve their profitability through analytics. Having specialized in process control and optimization, Artur began studying data science with respect to predictive maintenance – but when he encountered TrendMiner, he moved directly into the world of self-service data analytics. In the last two years, Artur has assisted leading manufacturers in implementing TrendMiner to improve their production processes. Today, his focus is on analyzing the specific challenges affecting the chemical industry and finding solutions to them. Artur holds a Master’s degree in Chemical Engineering from the Technical University of Dortmund.

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