Object-centric data model for process mining

A computer-implemented method for generating an object-centric data model of process data, wherein the process data is extracted from at least one external computer system, wherein the process data is a multidimensional data set which is generated during executions of processes, wherein each process comprises a number of process steps, wherein a number of object instances participate in executing the number of processes steps, the method comprising:

• creating a definition of at least two object types by defining a number of attributes for each object type,
• assigning the number of attributes for each object type to at least one data source of the at least one external computer system to determine process data related to the number of object instances,
• generating, for each object type, at least one execution command to extract at least one object instance corresponding to the definition of the object type by transforming the determined process data into a data structure representing the at least one object instance,
• creating, for each object type, the at least one object instance by executing the at least one execution command, wherein the at least one extracted object instance is assigned to exactly one object type,
• determining a number of object-to-object relationships to join two respective object types, and
• generating the object-centric data model on the basis of the at least two object types and the number of determined object-to-object relationships.