A curated collection of Power BI solutions, design patterns and Dashboards.

This repository brings together practical examples that help you build cleaner models, better visuals, and more scalable BI solutions.

If you are looking for AI and Copilot Content related to Power BI you can find it here
👉 Copilot & Power BI Use Cases

Most Power BI challenges are not about missing features.

They are about:

• too many measures
• inconsistent design
• manual and repetitive processes
• lack of structure in models

This repository focuses on solving these problems with:

• structured modeling techniques
• strong visual design
• reusable patterns
• knowledge of DAX functions
• practical dashboard tutorials

Topics you can find here:

• Automating model setup, relationships, and table creation
• Detecting schema issues and improving model consistency
• Enforcing best practices through structured prompts
• Enhancing data health and security with AI-supported workflows

This project shows how to use the MCP Server to move from manual modeling to a more structured and scalable approach.

👉 Open MCP folder

• Dynamic KPI cards and matrices
• Dynamic format strings (€ vs %)
• Reducing measure complexity

👉 Open Calculation Groups

• Hiding slicer values with no matching data
• Avoiding risky bidirectional relationships
• Improving report usability and data accuracy
• Keeping models clean and well-structured

👉 Open No Empty Slicers

• Make stacked charts more readable
• Avoid overlapping data labels
• No bookmarks required
• Cleaner and more user-friendly visuals

👉 Open Stacked Bar Charts

• Combine matrix, bar, and column charts
• Build dynamic and insightful heatmaps
• Improve usability with clear filter context
• Enhance visual clarity and interaction

👉 Open Heatmaps

• Recreating advanced KPI cards using native visuals
• Clean and structured dashboard design
• Improving usability and readability

👉 Open KPI Cards

• KPI cards with embedded line charts (100% native)
• No SVGs, clean and maintainable approach
• Compact layouts for high-density dashboards

👉 Open KPI Line Charts

V01 – IBCS Structure & Deviations

• Small multiples for KPI comparison
• Error bars for deviation visualization
• Structured and standardized KPI layout

👉 Open V01

V02 – Advanced Formatting & Dynamic Styling

• Conditional formatting for headers
• Dynamic titles based on data
• Accent bars and layout improvements
• Enhanced visual hierarchy

👉 Open V02

• Understanding the new Card Visual
• Customizing layout and formatting
• Designing clear and modern KPI visuals

👉 Open New Card Visual

• 9 different comparison patterns
• Column charts and error bars
• Choosing the right visual for the context
• Clear and structured year-over-year analysis

👉 Open Comparison Patterns

• Exploring alternative chart designs
• Error bars for comparisons and deltas
• Slope charts to visualize change over time
• Improving clarity and visual storytelling

👉 Open Visualization Experiments

• Identifying missing, inconsistent, and duplicate data
• Visualizing data quality issues in Power BI
• Using DAX and conditional formatting to flag anomalies
• Building structured data quality monitoring dashboards

👉 Open Data Health Dashboard

• Analyze post performance and engagement
• Track trends and growth over time
• Turn LinkedIn data into actionable insights
• Build a personal analytics dashboard

👉 Open LinkedIn Dashboard

• Create a high-level budget status page
• Use drillthrough buttons for navigation
• Build fast and reusable reporting patterns
• Turn simple datasets into professional dashboards

👉 Open Finance Budget

• Analyze airline and carrier performance
• Work with a real dataset
• Build a beginner-friendly dashboard
• Turn raw data into clear insights

👉 Open Airport Delays Dashboard

1. Start with a topic that matches your problem
2. Open the corresponding folder
3. Watch the tutorial
4. Use the provided files and adapt them
5. Apply the pattern to your own project

• Power BI developers building scalable solutions
• BI analysts working with DAX and modeling
• Teams standardizing reporting and design
• Anyone exploring AI in Power BI

All examples in this repository follow the same principles:

• structured over complex
• reusable over one-off solutions
• clear over clever
• practical over theoretical

This repository is licensed under the MIT License.

You are free to use, modify, and share the files, prompts, and workflows.

Created by Jasmin Simader

If you use this work, attribution is appreciated:

• Link to this repository
• Mention the original source
• Credit the author

🎥 YouTube: Power BI with AI Vibes
🏠 Website: Jasmin Simader
👩🏻‍💻 LinkedIn: Jasmin Simader
📝 Blog / Medium: Medium Blog