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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.