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Introduction to Process Mining
Unveiling Operational Insights Through Advanced Process Mining Techniques
195 months ago
Process mining is a powerful technique that bridges the gap between data mining and business process management. It analyzes event logs from information systems to gain insights into how business processes are actually executed, revealing inefficiencies, bottlenecks, and deviations from defined process models.
Event logs are the foundation of process mining. They record the sequence of activities and associated data elements for each process instance, providing a detailed trail of what happened, when it happened, and by whom. Process mining algorithms can then extract valuable insights from these event logs, enabling organizations to understand the real-life execution of their processes.
By leveraging process mining, organizations can uncover hidden process inefficiencies, identify conformance issues, and optimize their operations. This leads to improved process performance, reduced costs, and enhanced customer satisfaction. Process mining has become an essential tool for organizations seeking to achieve operational excellence and drive continuous process improvement.
Further reading
Unleashing Process Excellence with Process Mining and CelonisLeveraging Data-Driven Insights with Celonis to Achieve Unparalleled Operational Excellence
Event Logs and Data ExtractionEnsuring Accurate and Comprehensive Data Extraction for Effective Process Mining
Process DiscoveryLeveraging Process Discovery to Reveal True Process Flows and Optimize Operations