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Process Mining – the basis for optimizing internal processes

Dec 20, 2021

Every effective organization is an efficient system. And any system is only as efficient as its weakest link. Process Mining is an extension of traditional process analysis methods and a tool with tremendous potential for savings, optimization, strategy, and a real first step toward automating an organization’s internal processes.

Process Mining – analysis through the eyes of data

When encountering Process Mining for the first time, opinions prevail that speak of the high level of scientific complexity of this analytical method. This is not entirely true. Or at least, not at the data collection stage. It is definitely more challenging to verify the built models with the physical processes occurring in the company, and then to discover, understand and address the causes of detected inconsistencies, cases of wasted resources or ‘bottlenecks’. The so-called Process Mining method can be used primarily for:

  • automated creation of internal process models;
  • checking these models with the actual state of affairs;
  • improving and correcting process paths or the models themselves.


Modern companies cannot exist without technological solutions. It is our everyday reality. Whether it is a sophisticated ERP, a business smartphone or a common… email inbox. And just like the Internet, nothing is lost here either. Virtually every internal process can be decomposed over time based on the traces left by messages sent, logins, documents uploaded or phone calls made, etc. Based precisely on this data (so-called event logs), process-mining (PM) software is able to map processes, delineate and assign the right values. These values are, in the case of processes, generally units of time.


Process Mining – the devil is in the details

Business process performance is generally measured by a number of important, often aggregated metrics that show whether everything is working as expected. For Process Mining, a detailed understanding of the process – with all activities, manual and automated actions, technical constraints, legal requirements or industry nuances – is paramount. Process analytics starts from the beginning of the process and leads in many different directions. Often not as intended – identifying the actual flow of a function.

“One of the biggest mistakes that companies starting out with transformation projects make is the conviction that everything in the company runs ‘by the book,’ according to written schemes or management’s ideas. In reality, the person in charge of a given process, seeing for the first time a functional version of a powerful new purchasing system, rubbing his eyes in amazement only utters – >. And then, the executives have a surprise. A very expensive surprise.”


What benefits can Process Mining bring to an organization?

Regarding the costly mistake above – via time-visualized processes, Process Mining methodology can enable us to properly prepare for transformation projects. We often hear – <<Digitization and automation are key now! However, where to start? As always, from yourself. And in this case – from your organization. And even more specifically, from the actual processes taking place within (and outside) its structures. Not on paper. Based on real data from an information system or other popular technological solutions.


Process Mining is:

  • A precursor to automation and the basis for selecting the best processes/areas for automation implementations, including RPA (Robotic Process Automation) or e-Procurement;
  • Support employees in diagnosing problems and finding solutions;
  • Access to key operational status and process performance data in real time;
  • Quick identification of bottlenecks, performance problems and resource wastage and application of dedicated solutions;
  • Greater flexibility to update compliance, certification and security systems (when regulations change);
  • Easier alignment between core business processes and customer requirements/expectations.