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This guest post is written by Wil van der Aalst, professor of Eindhoven University of Technology, one of the most cited computer scientists in the world, introducing the new course “Process Mining: Data science in Action” starting today, November 12th. |
 Professor Wil van der Aalst |
Many of our daily events are being recorded—ordering a book, making a phone call or even taking a medical test. This provides an amazing source of information that can be turned into valuable insights using a method called process mining which can be used to automatically learn behavioral models which show what people and organizations really do. The hype today around Big Data is too focused on the “data” (storage and processing) and not on the “processes” that we would like to learn and improve. The course “Process Mining: Data science in Action” offers a novel perspective on data (Big or Small) and provides the tools necessary to start analyzing real behavior based on event data that we can find in any organization. |
| The sexiest job of the 21st century requires a process perspective
Process mining is an essential tool for the data scientist. Some consider this to be the sexiest profession of our time. One can argue about this, however, it is evident that there is a huge demand for well-educated data scientists that not only know about data and systems, but that are also able to relate these to the operational processes actually taking place. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process Mining: Data Science in action The course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains. Can I apply process mining to my own data? Yes! Event data is everywhere as is illustrated by the many practical examples in our course. Participants are also encouraged to apply the software to their own data sets, e.g., data taken from social media (twitter and facebook) or from enterprise information systems surrounding them (e.g., SAP).
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