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Course Outline

Overview of Process Mining Concepts

  • Foundations of process mining methodologies
  • Strategic value of data-driven operational optimization
  • Sector-specific applications and public sector benefits for government

Initiating Use of the Celonis Platform

  • Celonis platform capabilities and architecture
  • Navigating the user interface and core functions
  • Key platform elements: event logs, process structures, and analytics dashboards

Data Integration and Preparation Protocols

  • Evaluating event log requirements and data specifications
  • Establishing secure connections between data sources and Celonis
  • Techniques for data transformation and quality assurance

Process Discovery and Visualization

  • Development and evaluation of process models
  • Visualization tools within the Celonis Model Viewer
  • Identification of process variations and operational bottlenecks

Process Analysis and Key Performance Indicators

  • Definition and configuration of Key Performance Indicators (KPIs)
  • Root cause analysis for process inefficiencies
  • Establishment of performance benchmarks and monitoring thresholds

Action Engine and Process Automation

  • Introduction to the Celonis Action Engine framework
  • Automation of administrative tasks and workflows
  • Integration with external enterprise systems (ERP, CRM) for government operations

Development of Custom Dashboards and Reporting

  • Tailoring dashboards to meet diverse stakeholder requirements
  • Generation and distribution of analytical reports
  • Configuration of real-time monitoring and notification systems

Operational Best Practices and Applications

  • Case studies demonstrating optimization through Celonis
  • Guidelines for sustaining long-term process improvement
  • Question-and-answer session and concluding remarks

Summary and Strategic Next Steps

Requirements

  • Fundamental knowledge of organizational operations
  • Working familiarity with operational workflows, business procedures, or process maps

Target Audience

  • Business analysts
  • Process owners and managers
  • Information technology professionals
 14 Hours

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