Abstract: A computer-implemented method is provided for providing at least one analytics package to a process mining system, wherein the processor is provided with an event log comprising process data of business processes, the process data comprising at least one process element and the process element comprising at least one process step. The event log is stored according to a predetermined data structure comprising at least a first attribute for storing a unique identifier of the process element, a second attribute for storing an identifier of the process step, and a third attribute for storing an order of the process steps. The processor is further provided with auxiliary data and a data model, and the method comprises creating, based on the data model, at least one analytics package.

Abstract: A computer-implemented method is provided for generating an event log from raw data stored in a source system, wherein a processor is provided with a process sensor and the process sensor derives process data from the raw data, wherein the process data comprises at least one process element which comprises at least one process step. The process sensor further generates unique identifies of process elements, identifiers of process steps which are assigned to the process elements, and an order of the process steps, and stores the generated data as an event log according to a predetermined data structure.

Abstract: A computer-implemented method is provided for providing at least one analytics package to a process mining system, wherein the processor is provided with an event log comprising process data of business processes, the process data comprising at least one process element and the process element comprising at least one process step. The event log is stored according to a predetermined data structure comprising at least a first attribute for storing a unique identifier of the process element, a second attribute for storing an identifier of the process step, and a third attribute for storing an order of the process steps. The processor is further provided with auxiliary data and a data model, and the method comprises creating, based on the data model, at least one analytics package.

Abstract: A computer-implemented method is provided for generating an event log from raw data stored in a source system, wherein a processor is provided with a process sensor and the process sensor derives process data from the raw data, wherein the process data comprises at least one process element which comprises at least one process step. The process sensor further generates unique identifies of process elements, identifiers of process steps which are assigned to the process elements, and an order of the process steps, and stores the generated data as an event log according to a predetermined data structure.