What type of analysis does process mining facilitate?

Process mining primarily facilitates quantitative analysis of workflow and efficiency by extracting and visualizing data from business processes. This method allows organizations to identify bottlenecks, inefficiencies, and variations in processes as they occur in real time, providing detailed insights into how workflows operate.

Quantitative analysis involves measuring and analyzing numerical data related to business processes, such as cycle times, latency, and throughput rates. This information is crucial for process optimization and decision-making, as it allows businesses to assess performance objectively and make data-driven improvements.

While other forms of analysis have their place in business intelligence, they do not align as closely with the core capabilities of process mining. Predictive analysis focuses on anticipating future outcomes, qualitative assessments are more subjective and based on opinions rather than measurable data, and benchmarking typically involves comparison against external standards rather than internal process insights.