The term ‘Big Data’ has been hyped in the recent years and data mining techniques are now being used in many areas. This leads to a growing demand for data scientists, who can turn data into value. Data science aims to use the different available data sources to answer four key questions:

These four questions are key to understand and improve business processes. Data mining techniques applied to business process analysis (aka process mining) aims to discover, monitor and improve real processes by extracting knowledge from data readily available in today’s information systems. The goal is not to analyze data, but to improve processes for your business. Starting point for process mining is an event log. Each event in such a log refers to an activity (i.e., a well-defined step in some process) and is related to a particular case (i.e., a process instance). The events belonging to a case are ordered and can be seen as one ‘run’ of the process. Event logs may store additional information about events such as the resource (i.e. person or device) executing or initiating the activity, the timestamp of the event, or data elements recorded with the event (e.g. unit cost).

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