What is the primary output of a process mining analysis?

In process mining analysis, the primary output is a model identifying process efficiencies and inefficiencies. This output is a comprehensive representation of how processes are actually performed, based on the data extracted from operational systems. By analyzing this data, organizations can visualize their processes, understand their workflows, and pinpoint areas where improvements can be made—such as bottlenecks or redundancies that hinder efficiency. This model serves as a crucial tool in helping decision-makers streamline processes, reduce costs, and enhance overall operational performance.

Other options may provide valuable information in their respective contexts, but they do not align with the focus of process mining. A detailed financial report, for example, pertains specifically to financial analysis, while employee performance reviews focus on individual performance rather than organizational processes. Similarly, summaries of market research findings relate to market dynamics and customer behavior rather than internal process analysis. Thus, the model generated from process mining analysis is distinctly valuable for organizations seeking to optimize their operations.