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What is process mining, and what is it used for?

Process Mining

Process mining is defined as the extraction, analysis, and subsequent evaluation of data from the log files of business processes. It enables companies to examine entire processes for specific process flows, special patterns, or trends.

Specialized algorithms provide insights into the causes of deviations from the norm. These algorithms and visualizations enable managers to ascertain current situations, identify and correct inefficiencies, recommend activities to improve performance, and continuously monitor operations to prevent creeping outages.

Modern process mining tools can pinpoint methods for integrating process automation and deliver insights as to the resources needed to speed up the automation efforts at an enterprise.

As soon as a strategic area has been optimally positioned, process mining serves as an organization-wide foundation for an enterprise's further digital transformation strategy. On this basis, robotic process automation (RPA), existing AI components, and other new digital approaches can quickly be implemented in an iterative manner.

Process mining gives you a visualized, fact-based overview of your process flows, enabling you to identify initial optimization potential independently of automation. As the foundation of your automation strategy, process mining also helps you prioritize this potential.

 

 

How you can benefit from process mining

  • End-to-end process transparency:

Identifying bottlenecks and friction between enterprise areas requires an overarching view of the entire business process chain. Here, the goal is always to achieve greater customer satisfaction at low costs.

  • Standardized processes:

Whether in enterprise-internal comparisons between locales or organizations, during software implementation, or in the regulatory domain, standardized, harmonized processes reduce complexity and costs. The checking of the process variants offered by process mining is performed according to the principle “as little as possible, as much as necessary.”

  • More efficient operational processes:

Whether through the restructuring the process or the operational support of specialist departments through apps, robots , or AI, efficient, cost-sensitive process execution is a top priority.

  • Long-term management of process transformation:

Processes change constantly due to external factors, enterprise-internal influences, and employees. Managing this constant transformation with process mining can also help cement the success you've achieved so far.

Your expert

A profile of Scheer employee Andreas Kronz

Dr. Andreas Kronz

Expert BPM Professional Services

Scheer Blog » Process management

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