Introduction to self-service analytics

5 Ways to improve production with self-service process analytics

Time to watch: 1 hour

Companies today are looking towards digitalization to improve profitability and maintain market leadership, but those same companies tend to forget they are sitting on years of historical time-series data that can be used for that exact purpose.

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.

Watch now for a deep dive into:

  • Analyzing process performance and use recommended root causes
  • Monitoring the process and give early warnings in case of deviations
  • Predicting process performance using historical production patterns 
  • Capturing and use contextual information to continuously improve performance
  • Sharing knowledge and collaborate to improve processes