Organizations increasingly need the ability to respond to ever-changing environments.
Resulting transformations require organizations to possess a solid knowledge of the
status-quo of existing business models to transform them towards future target models.
However, business model creation in established frameworks is a manual, timeconsuming,
highly subjective and error-prone process. Following a design science
approach, this short paper proposes the development of an artefact in form of a business
model mining tool to overcome weaknesses of manual approaches to business model
derivation by deriving business models from data stored within organizational
information systems. This short paper further introduces a set of meta-requirements,
design principles and a preliminary prototype such as enterprise resource planning
systems. For the design and the evaluation of the artefact, an industry cooperation with
a manufacturing corporation was formed to gain access to real-world data.