“Digital Process Management” provides the fundamental knowledge to understand why digitalization is a lever to improve business processes. The course explains fundamentals of process management like process modelling techniques and performance analysis.
Particpants will learn how to model and analyze complex process structures using established modelling and analysis techniques (e.g. performance analysis). The focus will also be on the why we learn these techniques and look at their application in process digitalization initiatives. A comparison of techniques as well as evaluation of their strengths and weaknesses will be discussed and participants learn how process models are translated into IT architectures. From a theoretical standpoint, the advantages and disadvantages of object-orientation being the standard in comparison to subject-orientation as an alternative approach to process modelling will be analyzed 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 participants will 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 participants is to develop an intuition and fundamental understanding of the potential capacity, the challenges and the boundaries of digitalization in business processes.