Celonis Best Practices: Setting up and validating a data model

Ready to take your data quality to the next level? 

In this session, we'll dive into how and when to validate your data and knowledge, uncover common mistakes that can derail your journey, and share practical strategies to get validation right. 

Bring your questions, our experts will be ready to help you tackle real-world challenges! 

Important: Before joining, you should be familiar with setting up a data model and a knowledge model. 

Our training track "Get Data into Celonis" on Celonis Academy is covering the full breadth of knowledge that you might want to build up in your role as a Data Engineer on the Celonis platform. For this webcast in particular, you might want to check out the course "Monitor and Validate your Data Pipeline". 

Agenda: 

• Introduction and Context Setting
• Live Demo 
• Q&A

Speakers:

• Sebastian Ploner - Product Manager
• Arina Ferguson - Senior AI Deployment Architect