Every IT system leaves digital footprints that contain the events of every transaction, which is where process mining comes into play. It involves extracting data from event logs to uncover hidden inefficiencies, monitoring deviations and gaining valuable insights into business operations. The process typically includes four main phases: Discovery, Analysis, Design and Optimization of your business processes.
Whereas the traditional business analysis was done by manually mapping out through workshops, interviews or human-centric insights, now it’s been catered to process mining tools through real-time and data-driven insights for modern businesses. This shift highlights the growing difference between process mining vs. traditional business analysis.
Let’s understand the process of mining with an example. For example, suppose you are a car manufacturing company that uses numerous methods, from assembling parts to final productions. At first glance, it seems pretty straightforward. However, if you visualize the flows of the process through process mining and find there are inefficiencies like delays in the assembling or bottlenecks in the quality checks that were previously unnoticed, which is now can be better rectified through process mining,
In short, analyzing all your data from the event logs gives you real-time insights in an intuitive and visualized form to understand your process better, pinpoint the problem areas, and enhance efficiency to streamline your business operations.