Contents

The course deals with data-driven analysis of business processes. Therefore, different technical, organizational and business aspects of process improvement are discussed with Process Mining being at the center of attention.

The module has a strong practical focus and encourages students to apply methods and concepts learned during the lecture in a group project.

In the group project, the students will act as consultants hired to analyse a business process and to discover improvement potentials. For this purpose, the students will deal with process mining tools (e.g. Celonis).

Learning objectives and skills

Students learn about…

• Tools/Technologies
  • Process Mining
  • Databases/data structures
  • Source systems
• Value add
  • Business case
  • KPIs/PPIs
  • Actions – „Prescriptive Analytics“/Operational benefits
• Organizational aspects
  • Change management
  • Roles and collaboration

Method of examination

• Written exam
• Presentation

Module compatibility

• Master International Information Systems (from 2018/19):
  Module in the section Information Systems – Architectures & Development (Core
  Course or Elective)
• Master International Information Systems (from 2016/17):
  Module in the section Information Systems – Extension Courses (Elective)
• Master FACT: Vertiefungsbereich (Modulgruppe Interdisziplinäre Module)
• Master Wirtschaftsingenieurswesen (Prüfungsordnungsversion: 2009)
  • Wahlpflichtbereich
  • Vertiefungsmodulgruppe Studienrichtung Management
    • Wahlbereich
      • Services, Processes and Intelligence II
  • Vertiefungsmodulgruppe Studienrichtung International Information Systems
    • Wahlbereich
      • Services, Processes and Intelligence II
• Master Wirtschaftsingenieurswesen (Prüfungsordnungsversion: 20182)
  • Wirtschaftswissenschaftlicher Bereich

Cf. module handbook for more details

Course Organisation

• Term: WS20/21
• Course: Wednesday, 11.30 – 13.00, Online
• Registration: StudOn