  Event data provide the main source of information for analyzing and improving
processes in organizations. Process mining techniques capture the state of
running processes w.r.t. various aspects, such as activity-flow and performance
metrics. The next step for process owners is to take the provided insights and
turn them into actions in order to improve their processes. These actions may
be taken in different aspects of a process. However, simply being aware of the
process aspects that need to be improved as well as potential actions is
insufficient. The key step in between is to assess the outcomes of the
decisions and improvements. In this paper, we propose a framework to
systematically compare event data and the simulated event data of
organizations, as well as comparing the results of modified processes in
different settings. The proposed framework could be provided as an analytic
service to enable organizations in easily accessing event data analytics. The
framework is supported with a simulation tool that enables applying changes to
the processes and re-running the process in various scenarios. The simulation
step includes different perspectives of a process that can be captured
automatically and modified by the user. Then, we apply a state-of-the-art
comparison approach for processes using their event data which visually
reflects the effects of these changes in the process, i.e., evaluating the
process improvement. Our framework also includes the implementation of the
change measurement module as a tool.
