What is process mining? And how can I implement it in our project?

Process mining is a data science technique that analyzes event logs to discover, monitor, and improve real-world processes. It is like an MRI for business processes, revealing how they actually run, not how you think they run.

Event logs are digital records of events that occur within a business process, such as when an order is placed, a customer interacts with a website, or a task is completed. Process mining tools analyze these event logs to identify patterns, bottlenecks, and deviations from the expected flow of a process.

Process Discovery can be used to automatically discover the actual process flow from event logs, even when the process has not been documented or is poorly documented. It can be used to compare the actual process flow to the expected process flow, identifying any deviations geometry dash world or inefficiencies. It's also can be used to identify areas for process improvement, such as bottlenecks, redundant steps, or unnecessary loops. Furthermore, it can be used to improve a wide variety of business processes, such as order processing, customer service, and supply chain management.

Process mining is a data science technique that analyzes event logs to discover, monitor, and improve real-world processes. It is like an MRI for business processes, revealing how they actually run, not how you think they run.

Event logs are digital records of events that occur within a business process, such as when an order is placed, a customer interacts with a website, or a task is completed. Process mining tools analyze these event logs to identify patterns, bottlenecks, and deviations from the expected flow of a process.

Process Discovery can be used to automatically discover the actual process flow from event logs, even when the process has not been documented or is poorly documented. It can be used to compare the actual process flow to the expected process flow, identifying any deviations geometry dash world or inefficiencies. It's also can be used to identify areas for process improvement, such as bottlenecks, redundant steps, or unnecessary loops. Furthermore, it can be used to improve a wide variety of business processes, such as order processing, customer service, and supply chain management.