Process Mining
What is process mining with example?
Process mining is a method used to visualize and analyze business processes based on digital traces left by IT systems.
Example: By examining the timestamps in a company’s ERP system, process mining can reveal how long it takes for an invoice to be processed and highlight any bottlenecks in the workflow.
What are the types of process mining?
- Discovery: Extracting process models from event logs without prior information.
- Conformance: Comparing the expected process model with the actual process based on event logs.
- Enhancement: Improving the existing process model using information from event logs.
What are the process mining activities?
- Data Extraction: Gathering event logs from IT systems.
- Data Cleaning: Removing irrelevant or erroneous data.
- Process Discovery: Visualizing the actual process flow.
- Analysis: Identifying bottlenecks, deviations, and inefficiencies.
- Optimization: Recommending improvements based on findings.
What are the objectives of process mining?
- Transparency: Gaining insights into actual business operations.
- Efficiency: Identifying and eliminating bottlenecks or inefficiencies.
- Compliance: Ensuring processes adhere to regulations and standards.
- Continuous Improvement: Regularly refining processes based on insights.
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