Business Process Management

The lecture conveys fundamental concepts, methods, and tools of Business Process Management (BPM). Based on the BPM lifecycle, approaches for the identification and prioritization of business processes are addressed. For their modeling, the standardized process modeling language BPMN (Business Process Model and Notation) is introduced and applied. Building on this, quantitative and qualitative analysis methods for the continuous improvement and optimization of existing business processes are presented. Another focus is on the role of process-oriented information systems in the implementation, execution, and automation of business processes. In addition, methods of process mining are taught, which analyze (event) data from process execution to derive process-related insights. Particular emphasis is placed on process monitoring and performance measurement. Furthermore, the course addresses Business Process Management as a strategic organizational capability for the sustainable enhancement of efficiency, quality, and innovation.

Contents of the lecture units:

• Introduction to Business Process Management
• Process Identification
• Fundamentals of Process Modeling
• Advanced Process Modeling
• Process Elicitation (Process Discovery)
• Qualitative Process Analysis
• Quantitative Process Analysis
• Process Improvement (Process Redesign)
• Process Implementation and Execution
• Process Mining
• Process Monitoring and Performance Measurement
• Business Process Management as an Organizational Capability

Learning Objectives and Competencies

Upon successful completion of the course, students are able to …

• systematically identify, structure, and position business processes within the context of a process architecture.
• model business processes in compliance with the rules of the BPMN modeling language and justify the suitability of different modeling constructs.
• analyze as-is processes using qualitative and quantitative techniques with regard to weaknesses, risks, and potential improvements.
• select appropriate measures for process improvement and evaluate their impact on process performance and target metrics.
• explain the role of process-oriented information systems in the implementation and execution of business processes and assess their areas of application.
• systematically analyze event data from process execution and apply fundamental process mining techniques to derive process-related insights.
• interpret key performance indicators of process performance and classify approaches to data-driven process monitoring, including predictive methods.
• analyze Business Process Management as an organizational capability and evaluate its contribution to enhancing efficiency, quality, and innovation.

Organization