You're part of an analytics team at a fast-growing tech company, relying on Power BI for key insights. But as your data and team grow, so do the challenges: messy files, unclear version history, and unwieldy data models.

Then inspiration strikes - another team solved similar issues by adopting a structured project setup, using source control, and managing models with TMDL. You follow their lead.

Months later, your workflow is streamlined, collaboration is smooth, and your reports are sharper than ever. This session shares the strategies that made that transformation possible - so you can apply them in your own Power BI projects.

In this session, we will guide you through these strategies, demonstrating how to replicate this success in your own Power BI projects.
By the end of this session, you will be equipped with practical knowledge and tools to optimize their Power BI workflows, ensuring their data analytics projects are well-organized, versioned, and scalable.
We will start with a regular PBIX-file and gradually transform it into an organized, versioned model. Using Visual Studio Code, we will set up source control in Azure DevOps with the PBIP-format, apply TMDL and eventually integrate Git into the workspace.
Note: This session assumes a basic understanding of Power BI. Fundamentals of source control and branching will not be covered.

Key Takeaways:
Structured Project Management: Learn how to keep your Power BI project files well-organized.
Source Control: Discover how to use source control in Azure DevOps to track changes meticulously.
Efficient Data Modeling: Leverage TMDL to manage complex data models effectively.
Enhanced Collaboration: Implement Git integration for smoother collaboration and improved productivity.
Practical Implementation: Walk through the practical steps to transform a PBIX file into a versioned, scalable model using Visual Studio Code.

Target audience:
BI Devs, Tech-savvy data analysts regularly working with Power BI and looking to improve their workflow efficiency, collaboration and complex model management.
Also, users who have a foundational understanding of Power BI and are interested in advanced techniques and tools to optimize their workflows.
Admins responsible for setting up and maintaining the technical infrastructure, including source control and versioning systems, in an enterprise environment.