Copilot is integrated in several parts of the development process in Microsoft Fabric and Power BI. The session shows some examples on who Copilot can be used in different part of the BI development process in order to provide better insights faster to the business users.

You'll learn how to utilize existing rule sets published by TE, the Power BI Customer Advisory Team, and other third parties, and how to customize these rules to meet your specific requirements. You'll discover how to integrate the Best Practice Analyzer into your development process, including during validation steps in CI/CD pipelines, to catch potential issues early and improve your data models over time.

In Power BI Desktop you can transform such data into useful information via several approaches: standard & custom visuals, hierarchy slicers, hierarchies in the data model, parent-child hierarchies, etc. Join this session for a journey through best practices to transform your hierarchies (and graphs) into useful reports. We will have fun playing around with a sample database based on G. R. R. Martin’s famous “A Game of Thrones”.

In this session, we invite you to explore the reimagined landscape of mobile report design. We will provide a comprehensive guide to the best practices, catering to both the traditional and the cutting-edge capabilities.

Designing a report that will be viewed and used by different audiences can be challenging. You want to present information in an actionable, informative, and visually appealing way. However, users across an organization may have various requirements and Power BI experience levels.This session covers steps you can take to understand the needs of different audiences.

Discover how to transform data into captivating stories with clear, readable charts. Leveraging best practices in data visualization, let's infuse creativity into your dashboards, enhancing beauty and accessibility.

Have you ever wondered what makes Power BI so fast and powerful when it comes to performance? So powerful, that it performs complex calculations over millions of rows in a blink of an eye. In this session, we will dig deep to discover what is under the hood of Power BI, how your data is being stored, compressed, queried, and finally, brought back to your report. We will also cover some core concepts that affect Power BI performance, such as Aggregations, Materialization, and Relationships. After the session, you will get a better understanding of the hard work happening in the background and appreciate the importance of creating an optimal data model in order to get maximum performance from the Power BI engine. Finally, you will see a real-life demo showing how the Power BI data model was reduced by 90%!

Usually there’s a gap between your data source data availability and the scheduled refresh on the Power BI service. This is caused by the impossibility to directly connect the semantic model refresh to a pipeline. How to bridge that gap? How to trigger a Power BI semantic model refresh as the final step of a full ETL process? There are several ways to achieve it. In this heavily demo-based session, many examples of automation are showcased based on real cases of implementation in Pandora.

Our presentation will cover the history and evolution of 3D data visualisation, highlighting its early use in tools such as Excel and its development over time. The main differences between 2-dimensional and 3-dimensional data visualization will be presented, as well as how data visualization principles are often contrasted with 3-dimensional data visualization. We then examine how AR and VR impact 3D data visualisation. We also touch on the area of data physicalization, which is closely related to our topic. We will present our recent experiments with 3D printed models built from instant payment and meteorological data that literally provide tangible data representations to the audience.

ATLO has reached its five year anniversary last year. We created a lot of data stories during this time, but our – current – favourites are the ones from the past two years. The use of scroll interactivity in the so-called scrollytellling method has been a big step-up for our work. From earthquakes through papal visitations to the warming up of the Danube, we covered many important topics using this method, making big sets of data the most user friendly for our readers. During this presentation, I will showcase the best works of the last years, highlighting the small innovations and the stable core methods that can be found in each one of them.