With the exponential growth of data and technological advancements in analytics, organizations have recognized the value of using data to drive their business decisions. In order to enable employees across all facets of the business to become more data-driven in their decision-making, organizations employ a variety of business intelligence & analytics (BI&A) systems. Examples include BI&A systems for data provisioning (e.g., data warehouses), information generation (e.g., process mining platforms), and information presentation and distribution (e.g., dashboards). This course focuses on the fundamental concepts and core components of BI&A systems as well as their role in data-driven decision making within organizations. It is not a technical course, but rather takes a managerial perspective on the design, use, and impact of BI&A systems. In the exercise, students will work on real-world BI&A case studies and get hands-on experience with state-of-the-art BI&A tools.
After successful participation in this course, students will be able to:
In addition, students will gain hands-on experience with state-of-the-art BI&A tools.
| Course number (Stud.IP) | 35002 |
| ECTS | 5 |
| Hours per week (SWS) | 4 (Lecture 2 + Exercise 2) |
| Module applicability | Wirtschaftsinformatik / Information Systems (Master Wirtschaftsinformatik & Master Business Administration: Wirtschaftsinformatik Vertiefung) |
| Examination | Portfolio: Group work and presentations during the course (40%); final exam (60%) |
| Requirements | Basic skills in data analysis and/or programming (e.g., Python, R) are recommended. |
| Language | English |
