Copilot Usefulness

[TimmK]

What is the current usefulness of Copilot for creating or adjusting Power BI reports?

What are the specific benefits compared to using ChatGPT?

[cengizhanarslan · Accepted solution]

1) Context-aware model guidance

Copilot knows the actual dataset, tables, columns, measures, and relationships in your file.
So you can ask questions like:

• “Show me total sales by region for the last 3 quarters”

• “Build a DAX measure for year-over-year variance”

• “Create a pie chart of top 5 products by revenue”
  and Copilot responds using actual field names and model metadata.

This is something ChatGPT can attempt, but you’d have to list your fields/measures manually.

 

2) Report page generation & visual suggestions

Instead of manually dragging a bunch of visuals copilot can create a complete report page layout based on a prompt. It generates visuals, charts, slicers, titles based on what it “sees” in your model. ChatGPT can suggest what visuals to use, but nothing in Power BI directly builds them automatically from your prompt.

 

3) Measure creation with context

You can ask for a DAX measure in the context of your model:

• “Give me a measure for rolling 12-month average of Quantity”

• “Create an M Query to unpivot these columns”

Copilot uses your actual table and column names when generating code.

With ChatGPT, you’d need to manually share those names in your prompt and keep them updated.