Imagine you're part of a dynamic analytics team at a rapidly growing tech company. Your team relies heavily on Power BI to create insightful reports and dashboards that drive key business decisions. However, as the volume of data increases and more team members contribute to the projects, you start encountering challenges: messy project files, difficulty in tracking changes, and complex data models that are hard to manage.
One day, your team lead calls a meeting. She shares a story about another department that faced similar issues but managed to turn things around. Their secret? Implementing a structured approach to managing Power BI project files, using source control to track every change, and leveraging Tabular Model Definition Language (TMDL) to handle their complex data models. Inspired, your team decides to adopt these practices.
Fast forward a few months, and your team's workflow has transformed. Projects are well-organized, changes are easily tracked, and data models are efficiently managed. Reports are more accurate, collaboration is smoother, and your team's productivity has soared. This presentation will guide you through these strategies, showing you how to replicate this success in your own Power BI projects.

In this session, I 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.