Data-Driven Innovation (SS)
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Content of the course "Data-Driven Innovation" (Lecture and Exercise) |
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In today's rapidly evolving business environment, the ability to leverage data for innovation has become a critical factor for competitive advantage. With vast amounts of data being generated daily, companies that harness the power of data-driven decision making are better equipped to identify trends, improve customer experiences, and drive meaningful innovation. Organizations without a robust approach to data-driven innovation risk falling behind in an increasingly data-centric world. This course builds on these insights and equips students with the skills to manage innovation processes using data as a core asset. Emphasis will be placed on understanding the role of data at various stages of the innovation process, from ideation to implementation, as well as making strategic decisions based on data insights. Additionally, students get to know how data increase firm’s performances. Data-Driven Innovation is a suitable course for students who are keen to explore how organizations can use data analytics and AI applications to foster innovation in products, services, and business models. The course provides students with advanced frameworks, tools, and methods to make informed, data-driven strategic choices that fuel innovation. |
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Course structure |
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| Module code: | tba |
| Responsible for the course: | Prof. Dr. Monika Schuhmacher |
| Contact person: | Ricky Herman |
| Term: | Summer term |
| Method of examination: | tba |
| Course language: | Englisch |
| Examination language: | Englisch |
| Requirements: | - |
| Registration: | Registration via StudIP & Flexnow |
| Appointments: |
tba |
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Link to the page of the current module description
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