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MKT 512: Designing Data-Driven Business Models

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…

  • introduce participants to the economic potential of data
  • allow participants to think strategically to develop data-related business model ideas
  • enable participants to define adequate internal and external data monetization initiatives
  • address challenges and best practices to successfully managing big data in a company
  • enable participants to conduct basic data analyses on their own
  • enhance the participants’ ability to read, understand, create, and communicate data as information
  • allow to practically develop a suitable data-driven business model for a specific company
  • improve participants’ presentation skills
The course will be a markedly international in nature with participants joining from the international partner universities as it is part of the MBS Summer School. The course is scheduled as a one-week block course in July.

Necessary prerequisites

Recommended prerequisites
A basic understanding of business foundations and statistics is helpful (but not required).

Forms of teaching and learningContact hoursIndependent study time
Lecture2 SWS4 SWS
ECTS credits3
Graded yes
Workload90h
LanguageEnglish
Form of assessmentGroup 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 admissionyes
Further informationYou 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 offeringSpring semester
Duration of module 1 semester
Range of applicationM.Sc. MMM
Preliminary course work
Program-specific Competency GoalsCG 1, CG 3
Literaturetba
Course outlinetba