Process Mining over SAP Data (PM-SAP)

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The extraction, transformation, and loading of event logs from information systems is the first and the most expensive step in process mining. In particular, extracting event data from popular ERP systems such as SAP poses major challenges, given the size and the structure of the data. The goal of this project is to first extract object-centric event data from SAP ERP systems, and then discover and analyze well-known and unknown processes from such systems.

Majid Rafiei
Majid Rafiei
Senior Process and Data Scientist

My research interests include data science, process science, machine learning, and privacy enhancing technologies.