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Process mining is often viewed as a silver bullet for uncovering inefficiencies and optimizing business processes. However, the reality can be more complex. While expectations may include instant insights and effortless implementation, the reality requires careful data preparation, alignment with business goals, and ongoing analysis. Success in process mining comes from understanding these nuances and setting realistic goals. By balancing expectations with the realities of process mining, organizations can achieve significant improvements without falling into common traps.

In the pursuit of operational excellence and continuous improvement, organizations often invest in BPM tools and methodologies such as Lean Six Sigma (LSS) to streamline processes. However, studies conducted across various industries reveal a common challenge: while top leaders successfully implement continuous improvement tools, embedding lean principles and these behaviors in managers and teams at […]

Process mining tools are used for discovering, monitoring, and improving real processes (i.e., not assumed processes) by extracting knowledge from event logs readily available in organizations’ existing information systems. As a result, it offer’s objective, fact-based insights, derived from actual event logs, that help you audit, analyze, and improve your existing business processes by answering […]