With the launch of Microsoft Power BI Copilot , for the first time, users can interact directly with data using natural language, automate complex analyses, and summarize reports in minutes.

Initially, access to Copilot required Fabric Capacity F64 or Premium P1 , which cost around $5,000/month – limiting the opportunity to experience Copilot in large organizations.

However, from April 30, 2025 , Microsoft officially expanded Copilot support to the Fabric F2 package , with a cost starting at only about 6.5 million VND/month (equivalent to about 262 USD). Thanks to that, many small and medium-sized businesses can easily access generative AI technology in data analysis, which was previously limited by cost.

This article will analyze in detail the most outstanding strengths of Power BI Copilot, how this tool changes the data analysis experience, and important notes for successful application in the enterprise.

1. Power BI Copilot: Revolutionizing the Data Analysis Experience

Microsoft Power BI Copilot is officially launched as a breakthrough in the field of Business Intelligence.

Instead of spending hours manually creating reports, users can now communicate directly with data through natural language.

Copilot goes beyond visualization support:

• Automatically summarize entire reports with in-depth analysis.

• Understand the data context to recommend appropriate visualizations.

• Support for automated queries using DAX, extending user capabilities from basic to advanced.

The emergence of Copilot sets a new standard: speed of decision making must go hand in hand with deep and accurate analysis .

2. Summary and Report Query: Optimizing Data Mining Process

One of Copilot's standout strengths is its ability to instantly summarize reports.

With just one natural command, the entire report is analyzed, boiled down to key points: prominent trends, data outliers, performance metrics.

Additionally, the smart query function allows users to ask detailed questions about existing data, and receive instant analytical feedback.

Real-world example: A manager might ask, "What are the top 5 fastest-growing products in sales this quarter?" Copilot will instantly scan the entire dashboard and return results in both tables and visualizations.

Core Differentiation : Analytics capabilities go beyond just displaying numbers to explaining trends and drawing connections between variables in the data.

3. Support Automatic Report Generation: Convert Natural Language into Dashboard

The process of creating a report with Copilot includes the following steps:

• Enter requests in natural language.

• Identify appropriate data tables, information fields, and chart formats.

• Create a draft dashboard, allowing for editing and refinement.

The biggest advantage lies in the ability to suggest and optimize: Copilot not only builds the right report, but also suggests improvements to the data visualization experience, focusing on high-value aspects of analysis.

This is especially useful for organizations that need to create customized reports on demand quickly, especially in a constantly changing business environment.

4. Copilot Terms and Conditions: What You Need to Know

Despite the many groundbreaking benefits, using Copilot requires some technical limitations:

• Only English is supported for input and output.

• Charts cannot be edited after they are automatically created by Copilot.

• Requires powerful hardware (GPU) for good performance.

• It is important to ensure that the semantic model is standardized for Copilot to operate effectively.

Understanding this limitation helps businesses proactively optimize their data systems before integrating Copilot into their operations.

5. Conclusion: Copilot - An Unmissable Step In Data Strategy

Copilot in Power BI is more than just a support tool. It represents a new approach in Business Intelligence: deep analysis, process automation, and real-time data value extraction .

Organizations that quickly integrate Copilot will gain advantages in:

• Speed of decision making.

• More accurate forecasting capabilities.

• Optimize analytical resources.

The future of data analytics isn't just about "more data" but about "understanding the right data at the right time" — and Copilot is the key to that journey.

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