Process Mining techniques in complex Administrative Processes

This research demonstrates the process mining techniques used for analyzed data in the five Dutch municipalities. Thirteen roles were identified between employees involved in various stages of the processes. Organizational structures were identified and an algorithm was developed for the purpose of creating an organizational chart for each municipality. Possible points of improvement were made evident for an organizational structure, their organizational charts, as well as their allocated responsibilities for their tasks. With the help of four custom metrics, we were able to identify the differences in throughput times between all municipalities. A control flow was presented for each municipality and similar as well as different behaviors were identified. Our findings indicate what effects outsourcing some of the procedures will have on the organizational structure, as well as the employee roles involved in the process. Finally, we highlighted the changes in the processes that could possibly be due to the relocation of employees.