Process Mining

Reveal how your processes
really live

Process Mining is a core discipline of operational excellence, combining concepts from process engineering, data management and data analytics. Its main objective is to analyze the data generated by business information systems to understand how processes work and look for opportunities for improvement.

Process Mining Chart

Through process mining, organizations can identify bottlenecks, redundant steps and problems in process execution. In addition, it also allows to evaluate the efficiency and effectiveness of processes, which helps to make objective decisions to optimize business performance.

It has applications in various business areas and sectors, since any organization that has structured processes can benefit from this discipline. Some of its most common applications are:

  1. Process analysis: it allows to analyze and understand how processes are executed within an organization. This can help identify inefficiencies, delays and quality problems, improving their efficiency and effectiveness.
  2. Process discovery: sometimes organizations do not have a complete understanding of how their processes are developed, so it helps to uncover hidden processes, identifying the activities performed, the workflow and the dependencies between them.
  3. Process monitoring: once processes are in place, it is important to ensure their correct execution and detect anomalies or deviations.
  4. Process improvement: through the analysis of event log data, areas for improvement in business processes can be identified. This allows objective decisions to be made to optimize resources, reduce costs and improve customer satisfaction.