Process extraction capabilities
Posted: Mon Dec 23, 2024 9:37 am
Process mining offers three key capabilities: Automated Business Process Discovery (ABPD), Business Process Improvement and Compliance Verification.
Automated discovery of business processes
ABPD simply takes event logs and produces process models without any additional information. Analysts use these models to identify performance issues.
Improvement
Process mining can enhance an existing model by using information from data stored in event logs. For example, a process model can be extended by incorporating performance data.
Business Process Compliance Verification
Analysts can compare an existing process model with an event log of that same process. Compliance checks are useful to see if real-time log data conforms to a process model.
Process Mining and iBPMS
Process mining supports key stages of the BPM lifecycle and complements an iBPMS solution. To better understand the roles process mining plays in BPM, it is helpful to look at 4 distinct phases of the typical lifecycle.
Discovery
During the discovery phase, stakeholders seek to philippines email list learn about a process as it is. Process mining allows a process to be followed from end to end. This information is used to create a process model.
Redesign
Using the information gathered during the discovery phase, stakeholders identify areas for improvement. A low-code iBPM solution that offers process modeling capabilities allows organizations to design and test multiple process iterations, choosing the most effective version for implementation.
Implementation
During the implementation process, organizations must identify and select KPIs and process mining capabilities to track these metrics. iBPMS platforms contain analytics and reporting capabilities that make it easier to collect and interpret data and share that information across the organization. In addition, organizations use iBPMS platforms to design, automate, and optimize processes.
Follow up
During the monitoring phase, data mining technology collects data in real-time. Stakeholders can quickly identify inefficiencies, bottlenecks, and other performance issues, allowing them to take immediate corrective action.
Automated discovery of business processes
ABPD simply takes event logs and produces process models without any additional information. Analysts use these models to identify performance issues.
Improvement
Process mining can enhance an existing model by using information from data stored in event logs. For example, a process model can be extended by incorporating performance data.
Business Process Compliance Verification
Analysts can compare an existing process model with an event log of that same process. Compliance checks are useful to see if real-time log data conforms to a process model.
Process Mining and iBPMS
Process mining supports key stages of the BPM lifecycle and complements an iBPMS solution. To better understand the roles process mining plays in BPM, it is helpful to look at 4 distinct phases of the typical lifecycle.
Discovery
During the discovery phase, stakeholders seek to philippines email list learn about a process as it is. Process mining allows a process to be followed from end to end. This information is used to create a process model.
Redesign
Using the information gathered during the discovery phase, stakeholders identify areas for improvement. A low-code iBPM solution that offers process modeling capabilities allows organizations to design and test multiple process iterations, choosing the most effective version for implementation.
Implementation
During the implementation process, organizations must identify and select KPIs and process mining capabilities to track these metrics. iBPMS platforms contain analytics and reporting capabilities that make it easier to collect and interpret data and share that information across the organization. In addition, organizations use iBPMS platforms to design, automate, and optimize processes.
Follow up
During the monitoring phase, data mining technology collects data in real-time. Stakeholders can quickly identify inefficiencies, bottlenecks, and other performance issues, allowing them to take immediate corrective action.