SmartPLS
In the course “Business Information Systems” in the Business Administration for Small and Medium-Sized Enterprises program, the data mining tool “SmartPLS” will be examined using a case study in the 2017/18 winter semester. The project will be carried out by students in their fourth semester.
The program is capable of investigating complex cause-and-effect relationships. This allows large data sets to be analyzed and hypotheses to be verified or falsified. In order to familiarize fellow students with the statistics software, several workshops led by the project team will also be held.
The project team receives professional support from research assistant Christopher Reichstein (M.Sc) and Prof. Dr. Ralf-Christian Härting, who teaches this module.
Additional skills:The module teaches teamwork and presentation skills, as well as an analytical approach to problems in IT project management.
The first Chapter deals with the task and the project goals. In addition, the project team introduces itself. Furthermore, this chapter discusses both the approach to developing the goal to be achieved and the concept of the workshop.
Chapter 2: The basics of SmartPLS are addressed by first discussing the background of the program. To better understand the subject area, it is essential to explain important basic terms. For this reason, this section briefly discusses relevant basic statistical terms. The project team provides insight into the application of SmartPLS in science and explains the methods used by the program.
Chapter 3 addresses the application of SmartPLS using a given case study. The focus here is on planning and implementation. The results are then statistically evaluated and interpreted by the students.
The project team's approach and experiences are described in the fourth Chapter. The user-friendliness of the program for student projects will be examined to determine its suitability. Finally, a brief look into the future will be provided, with reference to the application of new technologies.