Definition

Process mining is a set of approaches that discovers real processes through the use of event logs, monitors them, and works towards improving them. It is an analytical approach through which knowledge is extracted from the organization’s systems.


What are the benefits of Process Mining?

Data-Driven Decision-Making

To enable data-driven decision-making, you require:

  • Data accessibility
  • Relevance High-quality data
  • Comprehensive data visualization
  • Analytical capabilities

Unfortunately, many organizations lack these prerequisites. Process mining addresses this gap by utilizing your raw data or event logs to unveil the actual process sequence and bridge data disparities. Consequently, it unlocks precise, impartial insights into your end-to-end processes, empowering you to make more informed choices.


Efficiency and Savings Through Targeted Automation

Process mining enables you to pinpoint the process tasks ripe for automation, optimizing resource allocation. Automating these tasks enhances productivity, reduces costs by eliminating unnecessary steps and human errors, and enhances employee well-being.


Transparency and Backing for Digital Transformation Objectives

While you recognize the value and urgency of digital transformation, convincing decision-makers can be challenging. Process mining serves as a potent ally in gaining executive buy-in and employee support. By using data, it helps executives and employees visualize how current systems and processes erode money, time, work-life quality, and company reputation. It also highlights the significant benefits that digital transformation can bring.

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