Object-Centric Process Mining

Unlock the Power of Object-Centric Process Mining with our comprehensive MOOC! This course covers state-of-the-art object-centric process mining methods and tools to enable participants to get a comprehensive understanding of the capabilities and use cases for object-centric process mining. The content covers how process mining can be used to understand a process, check its correctness, and apply machine learning methods to improve all types of processes. Traditional process mining is often limited to analyzing processes centered on a single case identifier. Object-Centric Process Mining (OCPM) supports the analysis of processes involving multiple interacting objects (e.g., customers, orders, products, invoices) within a single model. As a result, data need to be extracted only once, distortions are avoided, and performance problems involving multiple processes or organizational units can be identified. First, sources of event data are discussed. With the rise of digitalization, more and more events of every process are tracked digitally. Object-centric event logs store this data, which enables the computation of various process insights. After covering the most important process modeling notations (including state-of-the-art object-centric process model notations), process discovery approaches are presented. They can automatically learn a process model from event data. Then, the course describes conformance-checking methods that can identify behavioral differences between the desired process and the behavior observed in reality. The course also covers approaches and tools to analyze the performance and organizational structure of processes. Finally, the connection between process mining and machine learning is discussed, by describing how process mining can identify relevant problems in processes and transform them into machine learning problems. Throughout the course, the concepts explained in the videos are accompanied by hands-on quizzes and optional coding and tool practices. These practical experiences foster a better understanding of algorithms and provide a guided introduction to state-of-the-art process mining tools. After taking the course, students should have a great understanding of the different process mining techniques and should be comfortable applying them to object-centric event data to improve their processes. Enroll now to transform your approach to process analysis!

• Object-Centric Processes
• Process Models: Describe traditional and object-centric processes
• Process Discovery: Understanding processes from real event data
• Conformance Checking: Detect deviations from desired behavior
• Link to ML: Find valuable machine learning problems in your process

• Prior knowledge in math and computer science is beneficial but not necessary.