Power BI Masterclass - Learning DAX: Sales Forecast on Prior 3 Months Average

The video tutorial covers the use of time intelligence to predict sales using the last three months of data. It demonstrates creating a date table, formatting it, and displaying total sales. The tutorial then guides on creating a sales forecast measure using DAX, focusing on variables and the return keyword. Finally, it explains how to visualize the forecast and filter data for meaningful insights.

What is the primary goal of the time intelligence discussed in the text?

What alternative measures could be used instead of total sales?

How is the sales prediction for October calculated according to the text?

What function is mentioned for modifying the filter context in the sales forecast calculation?

What are the three variables defined for calculating the sales forecast?

Why is it important to use the return keyword when using variables in the calculation?

What is the significance of using the divide function in the sales forecast calculation?