Publication
An integrated requirements framework for analytical and AI projects
Juan Trujillo; Ana Lavalle; Alejandro Reina-Reina; Jorge García-Carrasco; Alejandro Maté; Wolfgang Maaß
In: Data & Knowledge Engineering (DKE), Vol. 161, Page 102493, Elsevier, 2026.
Abstract
To this day, the requirements of data warehouses, user visualizations and ML projects have been tackled in an independent manner, ignoring the possible cross-requirements, collective constraints and dependencies between the outputs of the different systems that should be taken into account to ensure a successful analytical project. In this work, we take a holistic approach and propose a methodology that supports modeling and subsequent analysis while taking into account these three aspects. This methodology has several advantages, mainly that (i) it enables us to identify possible conflicts between actors on different tasks that are overlooked if the systems are treated in an isolated manner and (ii) this holistic view enables modeling multi-company systems, where the information or even the analytical results can be provided by third-parties, identifying key participants in federated environments. After presenting the required formalism to carry out this kind of analysis, we showcase it on a real-world running example of the tourism sector.