Deciphering the Formula of Data-driven Business Models: An Assistance Tool for the Identification of Key Activities


“Information is the oil of the 21st century, and analytics is the combustion engine” (Sondergaard, global head of research at Gartner Inc.)

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.

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.

Skills required

  •  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 hunkeCsi1∂kit edu providing your CV and transcript of records.


We are looking forward to your application!