On-demand Webinar

Analytics Small Talk

Anomaly detection to avoid unplanned break downs

About this webinar

Anomaly detection is a great way to find beginning machine failures before they happen. This episode provides you with an overview what anomaly detection can do for your business and how to get started.

What you will learn

  • How to use your data to predict equipment failures before they happen
  • How to detect known and yet unknown failures and anomalies
  • Why anomaly detection is a great way to maximize the useful life of your equipment and increase the equipment availability

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About the Experts


Dr. Nicole Tschauder
Manufacturing Analytics Expert, SAS

Nicole works as a manufacturing analytics expert for the DACH region at SAS. For more than seven years, she focuses on the use of machine learning and advanced analytics methods in production, logistics and other IoT scenarios. Prior to this, she worked as a mathematician at technical universities, specializing in natural sciences and engineering.


Manfred Kügel
Data Scientist and Advisor for Manufacturing Industry, SAS

Manfred has a decade’s worth of experience in the Metals Industry. He engineered, commissioned and troubleshooted several plant types, such as plate mills, hot rolling mills, continuous casters, etc. Manfred also led the pilot implementation of a quality control system for an entire integrated steel plant in Asia. At SAS Manfred advises clients in Manufacturing Industry how to turn business challenges into solvable data science use cases.


Martin Schütz
Principal Analytics Expert, SAS

Martin is a trained computer scientist and mathematician with over 20 years of experience in implementing analytical projects in a wide variety of industries.