What is Copilot in Power BI?

Cody Schneider9 min read

Microsoft's Copilot in Power BI is changing how businesses interact with their data, turning complex analysis into a simple conversation. It's an AI-powered assistant built directly into the Power BI platform, designed to help you create reports, write calculations, and find insights using everyday language. This article will walk you through what Copilot is, how it works, and how you can use it to speed up your reporting workflow.

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What is Copilot in Power BI?

Think of Copilot as a data analyst sitting next to you, ready to help. At its core, Copilot for Power BI is an artificial intelligence feature that uses large language models (LLMs) - similar to the tech behind ChatGPT - to understand your requests and perform actions within Power BI. Instead of clicking through menus, dragging and dropping fields, and writing complex formulas by hand, you can simply type a request in plain English.

Copilot helps you with three main areas:

  • Report Creation: It can build entire report pages, or even full multi-page reports, from scratch based on a short description of what you need.
  • Data Analysis and Summarization: It can analyze the data on your report pages and generate written summaries, identifying key trends and insights you might have missed.
  • DAX Formula Generation: It can write and explain complex DAX (Data Analysis Expressions) measures, one of the most powerful - and often challenging - parts of using Power BI.

This integration essentially lowers the technical barrier for data analysis, making it possible for team members without a data science background to build their own reports and get answers from their data quickly.

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How Does It Actually Work?

When you type a prompt into the Copilot chat pane, Power BI sends your request and your dataset's schema (the structure of your data tables, columns, and relationships) to a large language model hosted in Microsoft's Azure cloud. The AI analyzes your prompt in the context of your data model and figures out the best way to fulfill the request.

For example, if you ask, "Create a report page showing our total sales and profit trend over time by product category," Copilot does a few things behind the scenes:

  1. It identifies key terms like "sales," "profit," "over time," and "product category."
  2. It looks at your data model to find the corresponding fields (e.g., SalesAmount, Profit, OrderDate, ProductCategory).
  3. It decides on the best visualizations to represent that data - likely a line chart for the trend and maybe a bar chart for the category breakdown.
  4. It then generates drafts of those visualizations, assembling them onto a new report page for your review.

The entire process feels conversational. It's not about learning a new query language, it's about telling the tool what you want to see, just as you would instruct a teammate.

Key Features of Copilot in Power BI

Copilot isn't a single feature but a collection of AI-powered capabilities integrated across the Power BI experience. Here are the most impactful ones you'll use.

Automated Report Creation

This is arguably Copilot's most impressive feature. You can start with a blank canvas and ask it to build an entire report. The tool analyzes your dataset and lets you select the specific tables and fields you care about. From there, it automatically generates a report page to get you started.

More specifically, you can ask it to:

  • Generate a report outline: Ask "suggest some pages for my report" and it will recommend pages based on an analysis of your data model.
  • Create specific pages: Use prompts like "create a page to analyze customer demographics and buying behavior based on location."
  • Build a full interactive dashboard: It will choose appropriate charts, arrange them intelligently, and add slicers for filtering.

This functionality turns a process that could take hours - designing layouts, picking charts, and dragging fields - into a task that takes just a few minutes. It gives you a great starting point that you can then refine and customize.

Creating DAX Measures with Natural Language

DAX is the formula language used in Power BI to create custom calculations. While incredibly powerful, it comes with a steep learning curve. Copilot drastically simplifies this. You can now describe the calculation you want, and Copilot will generate the DAX code for you.

Example DAX Prompts:

  • Simple Calculation: Instead of figuring out the COUNTROWS and FILTER functions, you can ask for "the number of customers in California."
  • Time Intelligence: A notoriously difficult area of DAX is made simple. Try asking for "total sales for the same period last year" or a measure for "sales year-over-year growth percentage."
  • Complex Logic: Even more advanced requests like "Show me a measure for the sales of our top 5 products as a percentage of total sales" are possible.

Not only does Copilot write the DAX measure, but it also provides an explanation of how the code works, making it a powerful learning tool for those looking to improve their DAX skills.

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Creating Narrative Summaries

Staring at a dashboard full of charts can sometimes be overwhelming. The "Narrative with Copilot" visual solves this by producing a plain-English summary of the data on your report or a specific visual. Just add the visual to your report page, and you can prompt it with questions like:

  • "Summarize the key insights on this page."
  • "What are the biggest drivers of our revenue decline last quarter?"
  • "Provide a bulleted list of sales highlights for our marketing team meeting."

Copilot analyzes the data present in your other visuals and generates a dynamic summary. This is perfect for report headers, executive summaries, or simply to get a quick interpretation of the numbers without having to dig through every single chart yourself.

Refining Visuals and Report Layouts

Copilot isn't just for creating things from scratch, it's also great for making adjustments to your existing reports. Once you have a visual, you can use conversational language to modify it.

You can ask Copilot to:

  • Change chart types: "Change this bar chart to a waterfall chart."
  • Add or change data fields: "Add 'Region' to the x-axis."
  • Adjust formatting: "Make this chart a 2x2 grid and use a darker color palette."

This iterative process allows for rapid experimentation. You can try out different visualizations and layouts much faster than you could by clicking through the formatting panes manually.

The Benefits of Using Copilot for Your Reports

Integrating an AI assistant like Copilot into your workflow provides several tangible benefits, especially for marketing, sales, and operations teams.

  • Dramatically Increased Productivity: Repetitive, time-consuming tasks like setting up visuals and writing standard DAX formulas are automated. This frees up your time to focus on higher-level analysis, storytelling, and strategic decision-making. That weekly sales report that took two hours to create can now be drafted in five minutes.
  • Data Accessibility for Everyone: Copilot democratizes data analysis. You no longer need to be a BI developer to build powerful reports. A marketer can now easily create a campaign performance dashboard or a founder can quickly generate a top-line business overview without relying on a dedicated data analyst.
  • Faster Time to Insight: Because the cycle of report creation and modification is so much faster, you can explore your data more freely, ask more questions, and uncover insights quicker. Follow-up "what if" questions from stakeholders can be answered in real-time during a meeting, not hours later.
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How to Get Started with Copilot in Power BI

Since Copilot is a premium feature, there are a few prerequisites to get it up and running:

Prerequisites:

  1. Your organization needs to have Copilot for Microsoft 365 enabled.
  2. Your Power BI workspace must be hosted on a Power BI Premium or Fabric capacity. This means it is generally not available on Pro accounts yet.
  3. Your Power BI admin needs to enable the "Copilot and other Azure OpenAI features" setting in the Power BI tenant settings.

Assuming those are in place, using it is straightforward. Within the Power BI Desktop or Service, you'll see a dedicated "Copilot" button in the ribbon. Clicking it opens a side pane where you can start typing your prompts and interacting with the AI.

Tips for Writing Effective Copilot Prompts

The quality of your output depends heavily on the quality of your input. Here's how to get the best results from Copilot:

  • Be Specific and Contextual: Instead of "show sales," try "Create a line chart showing total revenue by month for the last 12 months." The more detailed your request, the better Copilot can interpret it.
  • Use Column and Table Names from Your Data: Mentioning exact field names from your dataset (e.g., [Sales]_Amount, [Product]_Category) helps Copilot pinpoint exactly what data to use.
  • Start Simple, Then Iterate: Begin with a broad request to get a report page started. From there, use follow-up prompts to refine it. For example, after creating a basic sales chart, you could ask, "now add a filter for sales rep" or "highlight months where profit was below $10,000."
  • Experiment and Ask Questions: Don't be afraid to try different phrasings. If you don't get what you want the first time, rephrase your request. Part of the power is the ability to quickly test ideas.

Final Thoughts

Copilot for Power BI streamlines the process of data analysis, making it faster, more accessible, and more conversational. By translating natural language into reports, DAX formulas, and data summaries, it empowers every team member to become more data-driven without the steep technical learning curve.

While Power BI and Copilot are powerful for deep analysis within a single data model, often the challenge is bringing all your marketing and sales data together in the first place. That’s an area where we designed Graphed to excel. We make it easy to connect all your platforms - like Google Analytics, Facebook Ads, Shopify, and Salesforce - in one click. From there, you can use simple, conversational language to instantly build the exact real-time dashboards you need, giving your whole team a unified view of performance without ever touching a CSV file.

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