OrdinoR: A framework for discovering, evaluating, and analyzing organizational models using event logs

摘要

In order to streamline business processes and increase competitiveness, organizations need to have a deep insight into the resources that they deploy. Among others, they need to understand how these resources act in groups to achieve organizational outcomes. Accurate and timely information is a sine qua non to achieve this understanding. Process mining can be exploited for the purpose of deriving organizational models from event logs that contain resource-related data. But existing process mining techniques are not fully up to this task, as they are not able to cope with the multi-faceted nature of business processes and are not yet able to determine how resource groupings are involved in process execution. In addition, there is no provision for how to evaluate the quality of discovered organizational models.