What is process mining primarily used for?

Process mining is primarily used for visualizing and analyzing business processes by extracting insights from event logs generated by information systems. This technique involves taking the actual data that flows through an organization’s processes and creating a visual representation or model of those processes. This allows organizations to gain a clearer understanding of how processes are functioning in reality, as opposed to how they were intended to function. By mining this data, organizations can identify inefficiencies, bottlenecks, compliance issues, and areas for improvement, ultimately leading to better decision-making and optimized operations.

The other options focus on different aspects of business and data management that do not align with the core functions of process mining. Data storage solutions and analytics, while essential, are not the primary focus of process mining. Similarly, methods for financial forecasting and tools for employee performance evaluations are unrelated to the process-oriented insights that process mining provides. Therefore, the correct choice accurately reflects the main purpose of process mining in enhancing operational processes.