Last earned badges

Awarded when a member published their first post in the Community (question or conversation)

To become a Value Realization Expert, the earner has successfully passed the following Qualification Exams demonstrating the ability to: Manage Implementation Projects; Deliver Business Value; Manage Change and Scale Adoption; Create and Deliver Demos.

The earner has successfully passed a Qualification Exam demonstrating their ability to: Explain the Celonis Value Delivery Framework, Frame Value, Realize Value, and Track Value.

The earner has successfully passed a Qualification Exam demonstrating their ability in: Explaining the Celonis Path to Value; Implementing the Realize Value phase–Managing Change, Building the Center of Excellence, Enabling Users; Implementing the Sustain Value phase.

The badge earner should be able to gather and understand business requirements, collaborate with stakeholders, and use Celonis Studio to create process analyses, apps, and automations that drive business improvements and generate value.

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.

To become a Value Realization Expert, the earner has successfully passed the following Qualification Exams demonstrating the ability to: Manage Implementation Projects; Deliver Business Value; Manage Change and Scale Adoption; Create and Deliver Demos.

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

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: Connect to Systems, Extract Data, Transform Data, Load Data Models, and Manage and Troubleshoot the Data Pipeline.