An important aspect for many organizations is the flow of work between different parts of the organization. Traditionally, experts would use business process modelling techniques to visualize how these processes should be. This is a very labour intensive exercise. Moreover, in practice, the actual process may be very different from what is drawn on paper. This gap can be filled by applying process mining. Process mining uses actual data to visualize what the process is, rather than what the process is thought to be. Process mining is a relatively young research discipline that sits between computational intelligence and data mining on the one hand, and process modeling on the other hand. The idea of process mining is to discover, monitor and improve real processes by extracting knowledge from data readily available in an organization’s information systems. It is a tool to improve the design, redesign, control, and support of operational business processes.
An important aspect for many organizations is the flow of work between different parts of the organization. Traditionally, experts would use business process modelling techniques to visualize how these processes should be. This is a very labour intensive exercise. Moreover, in practice, the actual process may be very different from what is drawn on paper. This gap can be filled by applying process mining. Process mining uses actual data to visualize what the process is, rather than what the process is thought to be. Process mining is a relatively young research discipline that sits between computational intelligence and data mining on the one hand, and process modeling on the other hand. The idea of process mining is to discover, monitor and improve real processes by extracting knowledge from data readily available in an organization’s information systems. It is a tool to improve the design, redesign, control, and support of operational business processes.
Copyright © 2024 Brilliantwave Technology. All Rights Reserved.
Design: BrilliantWave Technology