Traditionally, processes are modelled and discovered primarily considering their control-flow dimension, while disregarding other key dimensions that affect the control flow, such as the data dimension. Consequently, the resulting models are unable to suitably represent real-life, widespread processes where behaviour arises from the complex interplay among multiple business objects and their one-to-many/many-to-many relationships. New paradigms that combine data and processes, such as object-centric processes, present new perspectives to the field of business process management, but also bring new challenges... On the one hand, object-centric processes toned to be correctly specified and modelled. Such multi-perspective models are intrinsically difficult to analyse. This calls for a suitable trade-off between expressiveness and feasibility of analytic techniques. In addition, object-centric models can span a complex network containing many processes and objects. Thus, they bring..