Use ChatGPT as a Power BI Mentor

Power BI development can be challenging, especially when it comes to optimizing DAX measures and designing efficient data models. What if you could have an expert Power BI consultant reviewing your work 24/7? With ChatGPT and Power BI's INFO functions, you can transform AI into your personal Power BI mentor that provides tailored advice based on your actual model structure.

This solution extracts your model metadata using INFO functions, creates context-aware prompts for ChatGPT, and delivers expert advice specifically tailored to your Power BI model. No more generic advice - get recommendations that directly apply to your data structure and business logic.

1. Extract Measures Metadata with INFO.MEASURES()

Start by extracting comprehensive information about all measures in your Power BI model.

Create a new DAX query in Power BI Desktop:

EVALUATE
INFO.MEASURES()

Run the query and you'll see a complete table containing:

Measure names and descriptions
Full DAX expressions for each measure
Data types and formatting information
Creation and modification timestamps
Hidden status and other metadata

Copy the entire result table - this will serve as the foundation for your ChatGPT analysis.

2. Create Measure Analysis Prompt for ChatGPT

Use this structured Prompt to get expert analysis of your measures:

You are a Power BI expert specializing in DAX optimization and performance tuning.
Please analyze the following measures and provide a structured assessment:

MEASURES FOR REVIEW:
[PASTE INFO.MEASURES() DATA]

REQUESTED ANALYSIS:
1. Performance optimization opportunities
2. Best practice compliance evaluation
3. Code quality improvements
4. Implementation recommendations with business impact assessment

This prompt positions ChatGPT as a specialized consultant and provides clear analysis criteria.

3. Analyze ChatGPT Results

ChatGPT will return a comprehensive analysis including:

Performance Optimization

Identification of heavy DISTINCTCOUNT operations that could be replaced with aggregation tables
Detection of volatile functions like TODAY() that bust query cache
Recommendations for pre-aggregated columns and calculated tables

Best Practices Review

Variable usage recommendations (adding 3rd parameter to DIVIDE)
Naming convention improvements
Code structure and readability enhancements

Implementation Priority

Business impact assessment for each recommendation
Effort vs. benefit analysis
Specific DAX code improvements with before/after examples

4. Extract Data Model Metadata with INFO.RELATIONSHIPS()

Get comprehensive information about your data model structure:

EVALUATE
INFO.RELATIONSHIPS()

This reveals:

All table relationships and their properties
Cardinality settings (1:N, M:N)
Cross-filtering behavior
Active/inactive relationship status
Referential integrity settings

5. Analyze Table Structure with INFO.COLUMNS()

Extract detailed column information across all tables:

EVALUATE
INFO.COLUMNS()

This provides:

Column names, data types, and categories
Explicit vs. inferred column properties
Hidden column identification
Table associations for each column

6. Create Data Model Analysis Prompt

Use this comprehensive Prompt for architectural review:

You are a senior Power BI architect with expertise in enterprise data modeling and dimensional design. Please conduct a comprehensive review of my data model structure:

TABLES METADATA:
[PASTE INFO.TABLES() DATA]

RELATIONSHIPS METADATA:
[PASTE INFO.RELATIONSHIPS() DATA]

REQUESTED ASSESSMENT:
1. Star schema compliance and optimization opportunities
2. Relationship design effectiveness and potential improvements
3. Performance implications and scalability considerations
4. Data modeling best practices adherence
5. Recommended architectural enhancements with implementation priority

Voilá!

ChatGPT as a Power BI Mentor revolutionizes your development process by providing expert-level analysis tailored to your specific model. This approach eliminates guesswork in optimization decisions, accelerates learning for junior developers, and ensures enterprise-grade data modeling practices.

The combination of Power BI's metadata extraction capabilities with ChatGPT's analytical intelligence creates a powerful feedback loop that continuously improves your Power BI solutions. Whether you're optimizing DAX performance, validating architectural decisions, or learning best practices, this mentoring approach delivers immediate, actionable insights that drive measurable improvements in dashboard performance and user experience.