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Data Driven Entrepreneurship - (B-E-M)

The course deals with activities along the entire new product development (NPD) process from the first idea to market launch. Students will learn about managing different stages of the NPD process and apply their new knowledge in case studies. Apart from the classic knowledge about the NPD process there will be further one or two special topics discussed which mirror actual developments regarding NPD. The course helps to deepen the students' knowledge in NPD and innovation management.
Course code
EAI624
Course type
MSc Course
Weekly Hours
2,5
ECTS
5.0
Term
FS 2024
Language
Englisch
Lecturers
Prof. Dr. Dries Faems
Please note that exchange students obtain a higher number of credits in the BSc-program at WHU than listed here. For further information please contact directly the International Relations Office.

Data are an increasingly important source for founders and investors to make entrepreneurial decisions. Moreover, the introduction of novel digital technologies has facilitated actors to collect and analyze a wide variety of data. The core purpose of this course is to introduce students to multiple methodological approaches and tools that can help them in executing data-driven entrepreneurship. To do so, the following topics will be addressed:

- Automate data cleaning and data merging

- Setting up a dashboard to generate business intelligence for startups

- Leveraging tools to generate competitor intelligence

- Applying natural language processing algorithms to identify potential partners/competitors

Throughout the different modules, we will use several software packages (e.g. Power BI, Python) to execute assignments. Students will be expected to self-learn the basics of these software packages (relevant learning material will be provided). In the modules, we will focus on applying these software packages to execute specific group and individual assignments. For the assignments, real entrepreneurial data will be provided and analyzed.

Date Time
Monday, 04.03.2024 11:30 - 15:15
Thursday, 14.03.2024 11:30 - 15:15
Monday, 18.03.2024 11:30 - 15:15
Monday, 25.03.2024 11:30 - 15:15
Thursday, 11.04.2024 15:30 - 18:45
Wednesday, 17.04.2024 08:00 - 11:15
The course will be structured as follows: Week 1: Introduction to course + Introduction to data cleaning and merging with PythonWeek 2: Building a dashboard using Power BI + Introduction to individual assignmentWeek 3: Individual feedback on assignmentWeek 4: Identifying competitors via NLP and SimilarWebWeek 5: Analyzing competitors based on financial data and SimilarWebWeek 6: Feedback on group assignment
Lecture, group work, in-class workshop
Group assignment: 50%

Individual assignment: 50%

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