How Copilot Helps Create Reports and Dax in Power BI
Build Reports. Generate Calculations. Work Smarter.
Copilot in Power BI is not just for asking questions. It can also assist with creating report pages, working with visuals, generating DAX, and producing narrative summaries. By using AI to support different stages of report development, Power BI users can spend less time on repetitive tasks and more time focusing on analysis and business requirements.
For RUSA Analytics, these AI-assisted capabilities can be useful when developing modern Power BI reporting solutions. Copilot can provide a starting point for certain tasks, while developers and analysts remain responsible for reviewing, refining, and validating the final report.
What Is Copilot in Power BI?
Copilot in Power BI is an AI capability that helps users work with Power BI reports and data through natural-language instructions.
Report development normally involves several steps, including understanding the data, selecting appropriate visuals, creating calculations, organizing report pages, and explaining the final results.
With Copilot, users can describe what they want to create and receive AI-assisted suggestions or generated content.
For example:
“Create a report page to analyze monthly sales performance.”
This can give a developer a useful starting point for building the report.
Copilot does not remove the need for Power BI expertise. Instead, it can act as an assistant throughout parts of the development process.
If you are new to Copilot in Power BI, you can first read our guide on What Is Copilot in Power BI? A Practical Introduction to AI-Powered Analytics.
Creating Report Pages
One of the useful capabilities of Copilot in Power BI is helping users get started with report-page creation.
A report page should answer a specific business question. For example, a sales report may need to answer:
How much revenue did we generate?
Which products performed best?
Which regions generated the most sales?
How has performance changed over time?
Instead of starting with a completely blank page, a user can describe the type of analysis they want.
For example:
“Create a report page for analyzing regional sales performance.”
Copilot can use the available data and report context to help generate a starting point for the page.
The developer can then review the result, change the layout, adjust the visuals, apply appropriate filters, and make sure the page matches the actual business requirement.
Why This Helps
Starting a report page can sometimes take time because the developer needs to decide how the information should be organized.
AI assistance can provide an initial structure, allowing the developer to spend more time refining the report instead of starting every element from scratch.
Creating Visuals
Visual selection is an important part of Power BI report design.
Different business questions require different types of visuals.
For example:
Column charts can help compare categories.
Line charts can show trends over time.
Cards can display important KPIs.
Tables can provide detailed information.
Bar charts can compare products or regions.
Copilot can assist with identifying suitable visual approaches based on the information the user wants to present.
For example:
“Show monthly revenue trends.”
A time-based visual can help communicate how revenue changes across different months.
Another example could be:
“Compare sales by region.”
A comparison visual can make differences between regions easier to understand.
The final visual should still be reviewed by the Power BI developer. A technically valid chart is not necessarily the best chart for every business situation.
Generating DAX
One of the most useful areas for developers is DAX generation.
DAX (Data Analysis Expressions) is the formula language used in Power BI to create measures and calculations.
Writing DAX can become more complicated when calculations involve filters, dates, relationships, or multiple conditions.
With AI assistance, users can describe the calculation they need using natural language.
For example:
“Calculate total sales for the current year.”
Or:
“Calculate the percentage change in sales compared with last year.”
Copilot can generate a DAX query or provide a starting point based on the requirement.
This can help developers move from a business requirement to a technical calculation more quickly.
However, generated DAX should always be reviewed before it is used in a production report.
The developer should check whether:
The correct tables are being used.
The correct columns or measures are referenced.
Filters are applied correctly.
The calculation matches the business definition.
The result produces the expected value.
AI can help generate the calculation, but the developer remains responsible for confirming that the calculation is correct.
Creating Narrative Summaries
A good Power BI report should not only display numbers. It should also help users understand what those numbers mean.
Copilot can assist with creating narrative summaries for report pages and selected visuals.
For example, a report may contain a sales chart showing that revenue increased during the final quarter.
Instead of requiring the developer to manually write an explanation, Copilot can help create a summary describing the information shown in the report.
A narrative summary can be useful for:
Management reports
Business reviews
Performance dashboards
Executive presentations
Stakeholder communication
This can make reports easier to consume, especially for users who prefer a written explanation alongside charts and numbers.
From Business Requirement to Power BI Report
A typical reporting process might begin with a business requirement such as:
“We need to understand which regions are driving our sales growth.”
The developer then needs to decide what data is required and how the information should be presented.
The workflow could look like:
Business Question↓Power BI Data Model → Copilot Assistance → Report Page → Visuals & Calculations → Developer Review → Final Report
This shows where Copilot fits into the development process.
Before creating a report, it is also important to understand how Copilot can support data analysis. Read our guide on How Copilot Helps You Analyze Data in Power BI.
It supports the workflow, but it does not replace the developer's role in designing and validating the solution.
Helping Developers Work Faster
Power BI development can involve many repetitive activities.
A developer may need to:
Create multiple measures
Design report pages
Select visuals
Write calculations
Explain measures
Prepare summaries
Refine existing report content
Using AI assistance for suitable tasks can reduce some of this repetitive effort.
For example, a developer can use a natural-language description to create a starting DAX calculation and then modify it according to the business requirement.
This can make the development process more efficient while still keeping technical review as an important step.
Supporting Measure Documentation
Measures can become difficult to understand when a Power BI model contains a large number of calculations.
For example, a model might contain measures such as:
Total Revenue
Gross Profit
Profit Margin
Year-over-Year Growth
Customer Retention
Average Order Value
Clear descriptions can help other developers and business users understand what each measure represents.
Copilot can assist with generating descriptions or explanations for measures, providing a starting point that developers can review and improve.
Good documentation is particularly valuable when multiple people work on the same Power BI solution.
Why Human Review Is Important
Although Copilot can support report development, AI-generated content should not automatically be considered final.
A report may look correct while still containing an incorrect calculation or an unsuitable visual.
To understand the limitations you should consider when using Copilot, read Limitations of Copilot in Power BI.
For example, a generated DAX calculation might technically execute but not represent the organization's actual definition of a business metric.
This is why developers should validate:
DAX calculations
Data relationships
Measures
Filters
Visual selections
Business logic
Report summaries
At RUSA Analytics, this human review is important when using AI as part of a Power BI development workflow.
The goal is not simply to generate a report faster. The goal is to create a report that is accurate, understandable, useful, and aligned with business requirements.
Benefits for Report Developers
Saves development time
Helps with DAX
Provides report-page suggestions
Helps document measures
Makes report development easier
Supports faster report prototyping
Helps create narrative summaries
Reduces some repetitive development tasks
Provides a natural-language way to describe requirements
Power BI + AI: A Practical Development Approach
The combination of Power BI and AI can change how developers approach report development.
Instead of spending all their time on repetitive tasks, developers can use AI assistance for suitable parts of the workflow and focus more heavily on:
Understanding business requirements
Designing reliable data models and data foundations
Validating calculations
Choosing effective visualizations
Improving user experience
Communicating insights
Maintaining report quality
This approach keeps technical expertise at the center while using AI to support productivity.
A Simple Example
Consider a retail company with the following Power BI data:
Sales | Products | Customers | Regions | Dates
The business wants a report that answers:
“Which regions are generating the highest sales and how is performance changing over time?”
A developer could use Copilot to assist with creating an initial report page.
The page might include:
Total Sales → KPI cardSales by Region → Bar chartMonthly Sales → Line chartTop Products → Table
The developer could then create or review the required DAX measures, check the relationships in the data model, adjust the visual design, and validate the final results.
This demonstrates how AI and Power BI can work together without removing the developer from the process.
Copilot in Power BI makes report development easier by helping users create reports, generate DAX, work with visuals, and summarize information. With AI assistance, developers can save time on repetitive tasks and focus more on building useful reports and insights.
For RUSA Analytics, Power BI and AI can work together to make data analysis and report development smarter and more efficient.
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