22-25 April 2026

Lars Andersen

Lars is Program Manager on Fabric Customer Advisory Team at Microsoft. His passion is helping organizations getting insights out of data. He joined Microsoft in 2014 and has been working with BI solutions since 1999.

Lars Andersen's Sessions

Optimizing Your Power BI Data for AISQLBits 2026

Discover how to prepare and optimize your Power BI data for AI-driven experiences. We’ll cover best practices for refining your semantic model to help Copilot deliver higher‑quality, more meaningful insights. You’ll also get practical guidance and early demos of upcoming capabilities that use AI to enhance and streamline semantic model optimization.

Panel Debate: Real-World Microsoft Fabric Administration - Lessons from the TrenchesSQLBits 2026

In this panel debate, four practitioners with extensive, real-world Fabric experience come together to discuss what actually works when administering Fabric at scale. Benni de Jagere (Microsoft CAT), Just Blindbæk (Tabular Editor), Lars Andersen (Microsoft CAT), and Ásgeir Gunnarsson (data lab) will share hard-earned lessons from real production environments, covering both successes and mistakes. The discussion will focus on the most debated and misunderstood areas of Fabric administration, including tenant and capacity management, workspace strategies, governance models, monitoring, security boundaries, and operational ownership. Expect differing viewpoints, strong opinions, and honest answers

Learn how to promote and reuse key metrics from your semantic models across your organizationSQLBits 2025

Have you ever found yourself in a situation where you saw the “same” measure in two different reports, showing conflicting values? Or a situation where you wanted to create a measure to use in your own report, but were uncertain whether that measure already existed in another model? It’s common for organizations to have multiple semantic models with overlapping content, which can often become difficult to manage and maintain data quality in an organization when duplicative measures in so many models get created. But what if you could centrally manage measures and reuse them across multiple semantic models? In this session, we’ll explore the new Metrics Hub and show how it can enhance the discoverability and reuse of Metrics derived from measures in enterprise semantic models.

Fabric Power HourSQLBits 2024

The famous Power BI Power Hour returns, but this time it has expanded to cover the whole of Fabric!

Driving alerts and actions on your dataSQLBits 2024

In this session you will learn how to drive actions on data using the new Data Activator experience in Microsoft Fabric

Building and using Organizational data typesSQLBits 2023

Learn how to create data types in Power BI and consume them in Excel

Are your semantic models ready for Copilot?SQLBits 2026

Learn why Copilot needs optimized semantic models, practical steps to make them Copilot-ready, and ways to consume models with Copilot and Agents. There will be live demos

Optimizing Your Power BI Data for AISQLBits 2026

Discover how to prepare and optimize your Power BI data for AI-driven experiences. We’ll cover best practices for refining your semantic model to help Copilot deliver higher‑quality, more meaningful insights. You’ll also get practical guidance and early demos of upcoming capabilities that use AI to enhance and streamline semantic model optimization.

Panel Debate: Real-World Microsoft Fabric Administration - Lessons from the TrenchesSQLBits 2026

In this panel debate, four practitioners with extensive, real-world Fabric experience come together to discuss what actually works when administering Fabric at scale. Benni de Jagere (Microsoft CAT), Just Blindbæk (Tabular Editor), Lars Andersen (Microsoft CAT), and Ásgeir Gunnarsson (data lab) will share hard-earned lessons from real production environments, covering both successes and mistakes. The discussion will focus on the most debated and misunderstood areas of Fabric administration, including tenant and capacity management, workspace strategies, governance models, monitoring, security boundaries, and operational ownership. Expect differing viewpoints, strong opinions, and honest answers

Learn how to promote and reuse key metrics from your semantic models across your organizationSQLBits 2025

Have you ever found yourself in a situation where you saw the “same” measure in two different reports, showing conflicting values? Or a situation where you wanted to create a measure to use in your own report, but were uncertain whether that measure already existed in another model? It’s common for organizations to have multiple semantic models with overlapping content, which can often become difficult to manage and maintain data quality in an organization when duplicative measures in so many models get created. But what if you could centrally manage measures and reuse them across multiple semantic models? In this session, we’ll explore the new Metrics Hub and show how it can enhance the discoverability and reuse of Metrics derived from measures in enterprise semantic models.

Fabric Power HourSQLBits 2024

The famous Power BI Power Hour returns, but this time it has expanded to cover the whole of Fabric!

Driving alerts and actions on your dataSQLBits 2024

In this session you will learn how to drive actions on data using the new Data Activator experience in Microsoft Fabric

Building and using Organizational data typesSQLBits 2023

Learn how to create data types in Power BI and consume them in Excel

Deep dive into Organizational data typesSQLBits 2022

Learn how to build and use Organizational data types in Power BI and Excel

Work smarter with Power BI, Teams and OfficeSQLBits 2022

Learn how to collaborate effectively with Power BI utilizing integration to Teams and Office

The Day after Dashboard in a DaySQLBits 2022

What do you do after Dashboard in a Day for Power BI? How do you level up your skills? In “The Day After Dashboard in a Day” we’ll go deeper into Data Preparation, Data Modeling and Data Visualization in a full day session incorporating the best practice patterns and customer stories that we’ve learned along the way.