Contents
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.
Learning outcomes
In this course, participants will learn key analytical and strategic principles that allows them to understand how to turn data into insights, better decisions, and enhanced corporate value. In particular, the course will…
Necessary prerequisites
–
Recommended prerequisites
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 |
ECTS credits | 3 |
Graded | yes |
Workload | 90h |
Language | English |
Form of assessment | Group presentation on the implementation of a data-driven business model for a partner company (75%) and individual participation in classroom and case discussions (25%) |
Restricted admission | yes |
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 |
Examiner Performing lecturer | Prof. Dr. Florian Stahl Victoria Meil, 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 |
Literature | tba |
Course outline | tba |