Discovering and optimising processes from event logs of document management systems

Modern information management systems are often driven by workflow engines, which require an accurate, detailed, and structured process description. Instead of theoretical modelling of such processes we propose a technique which can be a connection between traditional management (organisational structure) and business process management approach. In our work we present a case study where the automatic process mining techniques are applied to administrative processes in an environment of event logs recorded by DMS. We use event log data to discover and describe the process map of the organisation and to model structured process descriptions. Our approach allows for the extraction of models based on facts and it is a direct connection between the process model and raw data generated by the organisation. Such scenario increases consistency between the mapped model and the reality of the organisation.