Average Monthly Sales Amount for a Product

Problem Description

You want to find the average sales amount per month for a particular product over a specific period.

DAX Solution

Data Analysis Expressions (DAX) is a library of functions and operators that can be combined to build formulas and expressions in Power BI for data modeling and analysis.

To solve this problem, you can use a combination of the CALCULATE and AVERAGEX functions in DAX. The CALCULATE function allows you to modify the context in which an expression is evaluated, while AVERAGEX iterates over a table and evaluates an expression for each of its rows, then returns the average of those results.

Here's a DAX expression that will give you the average monthly sales amount for a specific product within a given date range:

AverageMonthlySalesAmount = 
CALCULATE(
    AVERAGEX(
        SUMMARIZE(
            'Sales',
            'Sales'[Product],
            "MonthYear", FORMAT('Sales'[SaleDate], "MM-YYYY"),
            "SalesAmount", SUM('Sales'[SaleAmount])
         ),
        [SalesAmount]
     ),
     'Sales'[Product] = "<YourProduct>",
     'Sales'[SaleDate] >= DATE(2020, 1, 1),
     'Sales'[SaleDate] <= DATE(2020, 12, 31)
)

In this expression, replace <YourProduct> with the name of the product you're interested in. You should also adjust the date range to the specific period you'd like to consider.

In this formula:

• SUMMARIZE is generating a summary table that includes total sales amount for each month and product.
• AVERAGEX is then applying the average to the monthly total sales amount.
• CALCULATE adjusts the filter context to consider only the specified product and date range.

This will return the average sales amount per month over the specified date range for the specific product, based on the data in the Sales table.

Remember, using CALCULATE and AVERAGEX in DAX provides a powerful way to perform analyses that require adjustments in context and computations over sets of rows in a data model.

Please make sure ALL the column names, table names align with your existing model. The code shares a perspective on how to come up with solution but the actual names should align with your data model columns.