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Course Outline

Introduction to Process Mining

  • Overview of process mining concepts
  • The role of data-driven process optimization
  • Industry-specific use cases and benefits

Getting Started with Celonis

  • Introduction to the Celonis ecosystem
  • Guided navigation of the Celonis interface
  • Key components of Celonis: event logs, processes, and dashboards

Data Integration and Preparation

  • Understanding event logs and associated data requirements
  • Connecting various data sources to Celonis
  • Techniques for data transformation and cleaning

Process Discovery and Visualization

  • Developing and interpreting process models
  • Visualizing processes via the Celonis Model Viewer
  • Spotting process variants and operational inefficiencies

Process Analysis and KPIs

  • Defining Key Performance Indicators (KPIs) within Celonis
  • Conducting root cause analysis for process bottlenecks
  • Establishing benchmarks and thresholds for ongoing monitoring

Action Engine and Process Automation

  • Overview of the Celonis Action Engine
  • Strategies for automating tasks and workflows
  • Integrating Celonis with external systems such as ERP and CRM

Building Custom Dashboards and Reports

  • Adapting dashboards to suit different stakeholder needs
  • Generating and distributing insightful reports
  • Configuring real-time monitoring and alert systems

Best Practices and Use Cases

  • Real-world examples of optimization achieved through Celonis
  • Strategies for sustaining long-term process improvements
  • Q&A session and concluding discussion

Summary and Next Steps

Requirements

  • Fundamental knowledge of business processes
  • Working familiarity with process flows, business operations, or workflows

Target Audience

  • Business analysts
  • Process owners and managers
  • IT professionals
 14 Hours

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