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The use of models for or during requirements engineering (RE) has been suggested to increase productivity and tackle increasing complexity by means of abstraction. Existing modelling frameworks often prescribe a variety of different, formal models for RE, trying to maximise the benefit obtained from model-based engineering (MBE). As an alternative, we have in previous work described how existing requirements, be it textual or in the form of a graphical model, and the connection between these requirements and other artefacts can also be understood as a “requirements model”. We also demonstrated how such a model can be constructed from real-world data in order to support communication and coordination among diverse stakeholders, including software and systems engineers. In this talk, I will discuss this previous work and try to connect it to the workshop theme by motivating a similar approach for data analytics.