Which statement accurately describes process mining?

Process mining is a technique that analyzes business processes based on the actual events recorded in system logs. This involves extracting data from various applications and systems to provide insights into how processes operate in real-time. The analysis is grounded in the data captured during transactions, interactions, and workflows, which automated systems generate through their operations. By leveraging this data, process mining can reveal not only how processes are currently functioning but also identify inefficiencies, bottlenecks, and opportunities for improvement.

The ability to rely on system and application data gives process mining its strength, as it provides a factual basis for analysis rather than subjective interpretations. This data-driven approach ensures that organizations can make informed decisions based on concrete evidence rather than assumptions or anecdotal information. As a result, the statement highlighting that process mining is based on data captured from systems and applications succinctly captures the essence of the technique and its utility in process analysis and improvement.