What is the difference between process mining and task mining?
Posted: Sun Dec 22, 2024 10:06 am
simple terms, process mining involves analyzing business processes based on the event log data of the computer system, while task mining involves analyzing workflow tasks from user interface interactions. In practice, process mining and task mining are two closely related aspects that differ in the way data is collected, the scope of data analysis, and the ultimate goal of data analysis. Both methodologies aim to improve processes, although they use different scopes and data collection methods.
Difference 1: How is data collected?
Process mining vs task mining - data collection
Process mining typically involves collecting event logs from computer systems, such as enterprise resource planning (ERP) or customer relationship management (CRM) systems used by companies. In practice, process mining tools are configured to integrate and extract event logs from each different source system, and process mining algorithms are used to merge and visualize processes and process variations in a business intelligence dashboard.
Task mining software typically collects workflows and indonesia phone number example task activity from the employee user interface, typically from an agent on a desktop computer or, in some cases, from extensions in web browsers used to access enterprise applications. Some popular task mining solutions use image capture algorithms to automatically record activity data that is then visualized in task and workflow analysis dashboards.
Difference 2: Scope of data analysis
Steps and tasks in the invoice approval process
Process mining typically involves the analysis of large-scale defined processes and workflows, such as accounts payable, order-to-cash, or customer lifecycle processes. On the other hand, task analysis can go into the detail of individual tasks within a specific workflow or process, describing the individual steps taken, for example, to create a purchase order.
Difference 3: Purpose of data analysis
The third obvious difference in the scope of process mining and task mining is the end goal of the analysis. Generally speaking, task mining can be used in teams and business units that perform a lot of repetitive work to measure and compare employee performance, while process mining is often used as part of process reengineering or operational excellence initiatives.
Difference 1: How is data collected?
Process mining vs task mining - data collection
Process mining typically involves collecting event logs from computer systems, such as enterprise resource planning (ERP) or customer relationship management (CRM) systems used by companies. In practice, process mining tools are configured to integrate and extract event logs from each different source system, and process mining algorithms are used to merge and visualize processes and process variations in a business intelligence dashboard.
Task mining software typically collects workflows and indonesia phone number example task activity from the employee user interface, typically from an agent on a desktop computer or, in some cases, from extensions in web browsers used to access enterprise applications. Some popular task mining solutions use image capture algorithms to automatically record activity data that is then visualized in task and workflow analysis dashboards.
Difference 2: Scope of data analysis
Steps and tasks in the invoice approval process
Process mining typically involves the analysis of large-scale defined processes and workflows, such as accounts payable, order-to-cash, or customer lifecycle processes. On the other hand, task analysis can go into the detail of individual tasks within a specific workflow or process, describing the individual steps taken, for example, to create a purchase order.
Difference 3: Purpose of data analysis
The third obvious difference in the scope of process mining and task mining is the end goal of the analysis. Generally speaking, task mining can be used in teams and business units that perform a lot of repetitive work to measure and compare employee performance, while process mining is often used as part of process reengineering or operational excellence initiatives.