  Process mining provides ways to analyze business processes. Common process
mining techniques consider the process as a whole. However, in real-life
business processes, different behaviors exist that make the overall process too
complex to interpret. Process comparison is a branch of process mining that
isolates different behaviors of the process from each other by using process
cubes. Process cubes organize event data using different dimensions. Each cell
contains a set of events that can be used as an input to apply process mining
techniques. Existing work on process cubes assume single case notions. However,
in real processes, several case notions (e.g., order, item, package, etc.) are
intertwined. Object-centric process mining is a new branch of process mining
addressing multiple case notions in a process. To make a bridge between
object-centric process mining and process comparison, we propose a process cube
framework, which supports process cube operations such as slice and dice on
object-centric event logs. To facilitate the comparison, the framework is
integrated with several object-centric process discovery approaches.
