Process Mining plays an essential role in Digital Transformation

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This month on the Connectian blog of Albatian, I publish an article about Process Mining, that is a process analysis method that aims to discover, monitor and improve real processes (processes not assumed) by extracting knowledge easily from available event logs in the systems of current information of an organization. It goes beyond the pure presentation of the key data of the process, recognizing the contextual relationships of the processes, presenting them in the form of graphic analysis in order to diagnose problems and suggest improvements in the quality of the process models. With Process Mining it will be possible to detect or diagnose problems based on facts and not on conjectures or intuitions. Process mining seeks the confrontation between event data (observed behavior) and process models (hand-made or automatically discovered). Through the pairing of event data and process models, it will be possible to check compliance, detect deviations, predict delays, support decision making and recommend process redesigns.

In this article, I explain the capabilities offered by Process Mining, the three main types of Process Mining (Discovery, Conformance and Enhancement), the application methodology of Process Mining written by Santiago Aguirre, the state of the market (growth, opportunities. ..), the map of software solution vendors to do Process Mining in an organization and a complete table of vendors indicating the solution they offer and a link to their website.


I hope you find it useful!

Read article in Albatian