Last earned badges

The earner has successfully passed a Qualification Exam demonstrating their ability to: Connect to Systems, Extract Data, Transform Data, Load Data Models, and Manage and Troubleshoot the Data Pipeline.

To become a Solution Creation Expert, the earner has successfully completed the Position and Promote Solutions training track and passed the following Qualification Exams demonstrating the ability to: Get Data into Celonis; Build Analyses; Build Knowledge Models and Views.

The earner has successfully passed a Qualification Exam demonstrating their ability in: Action Flow Fundamentals, Action Flow Configuration, and Data Mapping and Validation.

The earner has successfully passed a Qualification Exam demonstrating their ability in: Navigating the Celonis Studio, Conceptual Understanding of Knowledge Models and Views, Building Blocks of Knowledge Models and Views, and Leveraging the YAML Editor.

The earner has successfully passed a Qualification Exam demonstrating their ability to: Use Celonis Project Methodology, Frame Value, and Realize Value–Enable Users.

The earner has successfully passed a Qualification Exam demonstrating their ability in: Coding with PQL, Joins in the Data, PU-Functions

To become a Qualified Technical Expert, the earner has successfully passed the following Certification Exams: Build Views; Build Analyses; Build Action Flows; Write PQL Queries; Get Data into Celonis.

The earner has successfully passed a Qualification Exam demonstrating their ability to: Generate Demand With Celonis, Identify the Opportunity, Qualify the Opportunity, and Close the Opportunity.

The badge earner should be able to gather and understand business requirements, collaborate with stakeholders, and use Celonis Data Integration to build and maintain data pipelines and data models for process mining use cases.

The earner has successfully passed a Qualification Exam demonstrating their ability in: Navigating the Celonis Studio, Conceptual Understanding of Knowledge Models and Views, Building Blocks of Knowledge Models and Views, and Leveraging the YAML Editor.