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 Duration 14 hours

Course Outline

Introduction to Process Mining

  • Comprehensive overview of process mining methodologies
  • Significance of data-driven approaches for process optimization
  • Industry-specific applications and operational benefits

Initiating Celonis Implementation

  • Fundamentals of the Celonis platform architecture
  • Navigation and utilization of the Celonis user interface
  • Key platform components: event log management, process mapping, and dashboarding

Data Integration and Readiness

  • Requirements for event logs and data structuring standards
  • Configuration of data source connections to Celonis
  • Protocols for data transformation and cleansing

Process Discovery and Visualization

  • Construction and evaluation of process models
  • Visual analysis through the Celonis Model Viewer
  • Detection of process variants and operational inefficiencies

Process Analysis and Performance Metrics

  • Definition of Key Performance Indicators (KPIs) within Celonis
  • Diagnostic analysis of process inefficiencies and root causes
  • Establishment of benchmarks and monitoring thresholds

Action Engine and Workflow Automation

  • Overview of the Celonis Action Engine capabilities
  • Implementation of automated tasks and workflow management
  • Integration with external enterprise systems (ERP, CRM)

Development of Custom Dashboards and Reporting

  • Configuration of dashboards for diverse stakeholder requirements
  • Creation and distribution of performance reports
  • Setup of real-time monitoring and alerting mechanisms

Operational Best Practices and Application Scenarios

  • Case studies demonstrating Celonis-driven process optimization
  • Strategies for sustaining long-term process improvement
  • Open forum and concluding discussion

Conclusions and Strategic Next Steps

Requirements

  • Fundamental knowledge of business process structures
  • Working familiarity with process flows, business operations, or workflow methodologies

Target Audience

  • Business analysts
  • Process owners and management personnel
  • Information technology professionals

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