Process mining as a link between business process modelling and data mining
As the number of processes running daily is rapidly increasing, it is critical to understand these processes and their interactions so we can improve them in areas such as businesses that affect our daily lives. Information systems record a lot of data about events that are happening. Many of these processes are being recorded in event logs. All these event logs form a large amount of data that can be discovered, analyzed and understood through process mining. So what is process mining? The core idea of process mining is to analyze data from a process perspective . Process mining will help you answer questions such as:
- What does this process currently look like?
- What are the sequence of steps in my process?
- Are there any unnecessary steps that could be eliminated?
- Are there any bottlenecks? At which step?
- Are there any deviations from the defined process model?
- How much time does it take to execute a process?
- Discovery: the process discovery technique produces a model from event logs.
- Conformance: compares an existing process model with an observed behavior in the event logs. It checks if what is recorded in event logs or reality conforms with the model.
- Enhancement: improves and extends an existing process model based on information extracted by process mining.