What is Process Mining?

Process mining is a field that combines data mining, process analysis, and business process management to extract insights and knowledge from event logs of a company’s information systems. It involves analyzing the data captured by information systems to gain insights into the actual performance of business processes, identify process bottlenecks, and discover opportunities for process improvement.

Process mining uses algorithms and statistical models to analyze event logs and extract information about the process flows, resource usage, and performance metrics. This analysis can help identify patterns, deviations, and inefficiencies in the processes, which can be used to optimize and improve the processes.

Process mining can be used in various business domains, including manufacturing, finance, healthcare, and logistics, among others. It provides a data-driven approach to process improvement, allowing organizations to make informed decisions based on objective data and evidence.

Learn more about process mining here.

Recommended Books: 
  • Process Mining Bible: van der Aalst, W.M.P. (2009). Process Mining. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. Buy on Amazon
  • Process Mining in Action: Principles, Use Cases and Outlook. (2020). Deutschland: Springer International Publishing. Buy on Amazon

Process Mining Software

Today, there are over 35 commercial process-mining vendors exists. More details are coming soon.

More Information

Recommended online course: https://www.coursera.org/learn/process-mining

Read more about process mining here: https://processmining.org/