Despite an enormous amount of business-relevant data generated every day, many managers and top executives still rely on conventional wisdom or intuition to guide their decisions. Using poor or incomplete data can misguide important decisions. “Designing Data-Driven Business Models” should therefore introduce participants to the key concepts, tools, and practices of business analytics and data science that allows them to solve critical business challenges using data. They will learn techniques they need to transform an organization into a data-driven organization and apply their knowledge in a real-life case with a partnering company.
In this course, participants will learn key principles of business analytics and recent technological developments that allows them to understand how to turn data into insights, better decisions, and enhanced corporate value.
Upon successful completion of this course, students …
A basic understanding of business foundations and statistics is helpful (but not required).
|Forms of teaching and learning||Contact hours||Independent study time|
|Lecture||2 SWS||4 SWS|
|Form of assessment||Participation & engagement in class-discussions (20%)|
Presentation on implementing a data-driven business model for a partnering company (80%)
|Further information||You have to apply separately to the Mannheim Business School for this course. A list of the required application documents, the application deadline and further details can be found at the following link. Please read the information carefully:|
Website of the Mannheim Business School
Prof. Dr. Florian Stahl
Victoria Meil, Frank Ohnesorge, Andreas Hamann
|Frequency of offering||Spring semester|
|Duration of module||1 semester|
|Range of application||M.Sc. MMM|
|Preliminary course work||–|
|Program-specific Competency Goals||CG 1, CG 3|