The development and successful application of data-driven services relies on data, analytical models and their configurations within data-driven business models. In today’s increasingly connected economy, the necessary resources and capabilities are typically distributed across various organizational entities. In order to tap the full economic potential of data and analytics, systematic approaches guiding the development process of data-driven business models are necessary.
Deciphering the Formula of Data-driven Business Models: An Assistance Tool for the Identification of Key Activities
Goal of the Thesis
The successful development of data-driven business models relies on identifying and select- ing the right activities that are vital for the successful application of a data-driven business model. This requires the integrated consideration of key activities of customers, partners and the organization itself. The goal of this thesis is to develop a tool that supports this process and therefore contributes to the development and understanding of data-driven business models.
- Interest in data science, analytics, and its application in practice
- Very good time management and organizational skills
- English skills
- Ability and willingness to learn new research methodologies
If you are interested to work in a challenging and rewarding environment for your bachelor thesis, please contact fabian hunke providing your CV and transcript of records. ∂kit edu
We are looking forward to your application!