Power BI Master-AI-driven Power BI Assistant

Example

A user has a sales report where they need to calculate Year-to-Date (YTD) sales, but they are unsure how to handle a fiscal year that starts in April. Power BI Master helps them understand how to write a DAX formula using the `TOTALYTD` function with the correct `DATESYTD` and fiscal year start parameter.

Scenario

This function is applied when users are working on time intelligence calculations, handling business-specific calendars, or optimizing performance-heavy DAX queries by suggesting the right approach.

Example

A user needs to transform unstructured data coming from multiple sources into a single format. For instance, they have sales data from two regions, one with weekly data and the other with monthly. Power BI Master shows them how to use Power Query to normalize the time periods and merge datasets using the `Merge Queries` and `Date` functions in Power Query.

Scenario

This is typically used when users need to clean or transform data before loading it into Power BI for analysis. Complex data wrangling, such as data type conversions, unpivoting, or reshaping, are handled here.

Example

A user wants to create a star schema model from a flat table that contains customer, product, and sales information. Power BI Master guides them through breaking the table into fact and dimension tables, setting proper relationships, and choosing between snowflake and star schema models depending on their business requirements.

Scenario

This function is essential when users are building scalable models. It applies to cases where users need to optimize the relationship between tables for efficient querying or create dynamic reports from complex data structures.