Power BI Report-Scoped Measures: 6 Patterns for Better Reports

Video by: Reid Havens

Report-scoped measures (aka report-specific measures) are one of the easiest ways to level up a Power BI report without turning your semantic model into a junk drawer.

In this video, I walk through my Visual & Report-Scoped Measures guide and show the art of the possible. No deep DAX theory, no data engineering detours, just practical patterns you can steal immediately.

We’ll cover:

• What “report-scoped” measures are (and when you should use them)

• Six practical patterns for enhancing report UX with measures

• Dynamic titles that respond to context

• Conditional formatting driven by measures (so visuals explain themselves)

• How to keep your model clean while still making reports more interactive and readable

If you build reports for humans (not just for your own amusement), this is a strong set of patterns to have in your toolkit.

Power BI to Plotly: Build AI Dashboard Apps - with Adam Schroeder

LIVESTREAM DATE/TIME 📅

March 6th - 9:30 AM (Pacific Time)

DESCRIPTION 📄

You’ve already invested in a Power BI semantic model. Cool. Now let’s actually use it outside the walls of a closed BI environment. In this session, Adam Schroeder (Plotly) shows how Plotly Studio can connect directly to your existing Power BI semantic model so you can build polished, production-ready data apps, powered by Python and accelerated with AI, without rebuilding or migrating your data.

You’ll learn how to:

• Build fully customized, production-ready data apps using Python (beyond drag-and-drop limits)

• Distribute apps broadly without getting crushed by per-user viewer licensing costs

• Own your branding, UX, and deployment strategy end-to-end

• Take a practical step toward operationalizing trustworthy AI on top of governed data

If you’re hitting the ceiling on Power BI customization, navigating licensing-based scaling challenges, or looking for more control over how insights (and AI) reach users, this is your playbook.

GUEST BIO 👤

Adam Schroeder is a Senior Developer Advocate at Plotly. He has helped grow the community through 1:1 relationships, contributing to 6 million Dash downloads per month. He’s taught Plotly Dash for over five years on YouTube as @CharmingData (over 60,000 views/month) and co-authored “The Book of Dash.”

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Plotly Studio

AI-Powered Power BI: Building Custom Themes & Visuals with GitHub Copilot - with Zoe Douglas

LIVESTREAM DATE/TIME 📅

February 20th, 2026 - 9:30 AM (Pacific Time)

DESCRIPTION 📄

GitHub Copilot can turn Power BI customization from a tedious, manual grind into a fast, interactive workflow. In this session, you’ll see how to generate polished report themes by extracting color palettes from images, create named style presets that show up directly in Power BI’s formatting pane, and build custom visuals from scratch with Copilot as your pair programmer. From JSON theme schemas to visual implementation details, you’ll leave with practical techniques to speed up development, improve consistency, and ship better-looking reports with less trial-and-error.

GUEST BIO (Zoe Douglas)👤

I'm a product manager for Power BI working on core visuals with focus on the default and theming experience with visuals in reports. I'm also good with a semantic model and worked on features such as DAX query view, Copilot to write DAX queries, Copilot to write measure descriptions, Optimize ribbon, and more! Before coming to Power BI product group I was a Power BI consultant using Power BI everyday to bring insights to action!

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LinkedIn
Zoe's Blog
Zoe's GitHub

A Generated Report: How AI can make Dashboards - with Injae Park

LIVESTREAM DATE/TIME 📅

January 9th 2026 — 9:30AM (Pacific Time)

DESCRIPTION 📄

This session explores how AI can be applied to the creation and modification of Power BI visuals, focusing on the different levels at which AI tools can interact with reports and models. The session looks at emerging patterns in how AI is being used across the Power BI development lifecycle, and where each approach is most effective.

We Will Cover

• Using web-based LLMs for fast iteration, ideation, and visual exploration

• Using MCP-style setups to interact with and modify the semantic model

• The trade-offs between speed, control, and reliability across these approaches

• How to choose the right level of AI involvement for different scenarios

This will be a discussion of a few examples of how the technology is moving at a rapid pace, and how that will affect and enable Power BI Developers

GUEST BIO 👤

Injae Park is a Microsoft Data Platform MVP who combines his technical expertise with a passion for teaching by sharing his insights and practical tips through his YouTube channel @PowerBIPark. Injae's content ranges from beginner tutorials to advanced techniques, and as part of the Power BI Core Visual Representatives - he aims to bridge the MS Developer team with the Power BI community. His education in psychology and economics as well as his experience in consulting gives him a well-rounded perspective on the Power BI Developer experience, making his tutorials both engaging and accessible.

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Injae's Website
Injae's LinkedIn
Injae's YouTube