This course provides the fundamental knowledge to understand why digitalization is a lever to improve business processes. The course explains the fundamentals of process management like process modelling techniques and performance analysis. We will learn how to model and analyze complex process structures using established modelling and analysis techniques (e.g., performance analysis). In addition, we will focus on why we learn these techniques and look at their application in process digitalization initiatives. We will thereby compare techniques as well as evaluate their strengths and weaknesses, and learn how process models are translated into IT architectures. From a theoretical standpoint, we will discuss the advantages and disadvantages of object-orientation being the standard in comparison to subject-orientation as an alternative approach to process modelling.
Further, the opportunities and challenges of digitalization for process performance will be evaluated using examples and exercises from practice, such as process guidance and process mining. During the class, several “concept-in-practice” sessions will ensure that the students also learn to actively model processes using different tools and techniques that are widely used in practice (e.g., ARIS or MS Visio). The goal for students is to develop an intuition and fundamental understanding of the potential capacity, challenges, and boundaries of digitalization in business processes. The successful student will be able to judge whether, how, and why the introduction of digitalized elements will improve processes.
- Learn and apply different process modelling techniques
- Evaluate strengths and weaknesses of different modelling techniques
- Analyze performance in process models
- Apply instruments of process controlling
- Learn about innovative techniques in process digitalization such as process mining
This course is part of the prestigious part-time Goethe MBA Digital Transformation | Data Science | Sustainability, conducted in English on Fridays and Saturdays on Campus Westend. It offers a valuable opportunity to network and gain expertise without committing to a full degree program. As the number of seats is limited, we recommend to register early. If you’re a GBS alumni, explore our attractive alumni discount options.
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Participants have the choice of completing the course with a qualified certificate or attending as a guest auditor. As an auditor, you are not required to complete assignments, take exams or earn academic credits.
ECTS | Certificate | |
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Guest auditor | - | Certificate of Participation |
Full participant | 5 CP | Qualified Certificate |
This course can also be upgraded to a Certificate of Advanced Studies (CAS) in Digital Transformation Management in combination with other courses from our Goethe MBA Digital Transformation | Data Science | Sustainability program.
Prof. Dr. Julia Krönung
Prof. Dr. Julia Krönung is a Professor of Information Systems at the European Business School (EBS). She completed her doctorate at Goethe University on IT acceptance, i.e. why people use Internet-based services and apps as part of their daily routine, as well as the impact of the Internet on business and the public sector. Before joining EBS, Julia was an assistant professor of e-business and e-government at the University of Mannheim. Her research focuses on the implementation of information systems, processes, and digital diversity. Julia successfully teaches several modules in the Digital Transformation MBA at GBS.
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Dates Coming Soon |