Why is ensuring data quality critical in process mining?

Ensuring data quality is critical in process mining primarily because generating reliable and accurate insights relies heavily on the integrity and accuracy of the data being analyzed. Process mining involves extracting insights from event logs and other data sources to visualize and analyze business processes. Poor data quality can lead to misleading interpretations, incorrect conclusions, and flawed decision-making.

When the data is high in quality, it reflects the true nature of the business processes, allowing organizations to identify bottlenecks, inefficiencies, and areas for improvement. Reliable insights derived from quality data empower businesses to make informed decisions that drive performance enhancements and process optimization.

The other options, while they may have their own importance in broader contexts, do not directly address the fundamental reason that high data quality underpins effective process mining analysis and execution.