Business Intelligence & IT Systems

Department

Bachelor's program Business & Management

Course unit code

B&M-B-3-BIS-BIS-ILV

Number of ECTS credits allocated

4.0

Name of lecturer(s)

FH-Prof. Priv.-Doz. Dr. Stöckl Thomas, Dr. Perkhofer Lisa, MA, Kainz Fabian, MA MSc

Mode of delivery

-

Recommended optional program components

none

Recommended or required reading

Kimball, R., Ross, M. (2013): The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition, Wiley.
Nelles, S. (2020). Power BI mit Excel - Das umfassende Handbuch. Rheinwerk Computing, 2nd Edition.
Eisl, C., Perkhofer, L., Hofer, P., Losbichler, H. (2018). Excellence in Reporting Design: Guide for Controllers. Internationaler Controller Verein, Haufe Group, Freiburg.
Few, S. (2013). Information Dashboard Design - Displaying Data for At-a-glance Monitoring. Analytics Press. 2. Auflage, Burlingame.
Tufte, E. (2001): The visual display of quantitative information. Graphics Press. 2nd EditionSlides and selected relevant papers

Additional information about examination modalities

In total, 100 points can be achieved. 50 of these points are awarded in a written exam lasting 60 minutes. The remaining 50 points are allocated to a group assignment. You have three attempts to pass a course. For the course evaluation, the standard MCI grading scheme applies (pass with 60%).

Level of course unit

Bachelor

Year of study

Fall 2025

Semester when the course unit is delivered

3

Language of instruction

English

Learning outcomes of the course unit

In the course “Business Intelligence and IT Systems”, we aim to introduce you to the way data and their analysis can support decision-making. We will cover the basics of reporting and analytics with examples of business applications and practical exercises in MS Power BI.
Having completed this course, you will have acquired the theoretical knowledge as well as hands-on experience to be able to:
• Understand business intelligence processes and BI architecture
• Be able to communicate with IT professionals and define data requirements
• Be able to assess data sources concerning their value added to decision-making
• Select appropriate visualizations for a given problem and design user-centered dashboards
• Have a basic understanding/overview of BI applications and know-how on an appropriate selection of tools and services
• Explain how data and analytics enable and support intelligent business decisions

Course contents

• Overview of Business Intelligence, Analytics & Data Science
• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics
• Future Trends

Planned learning activities and teaching methods

The course comprises an interactive mix of lectures, discussions as well as individual and group work.

Work placement(s)

none