Power BI Masterclass - Advanced DAX - Which were the Last Products the Customer Ordered from Us

The video tutorial explains how to analyze the last activity of a customer by determining the last products ordered and their amounts. It covers creating a measure using DAX functions like SUMX and TOPN, and explains the difference between CALCULATE and CALCULATE TABLE functions. The tutorial also demonstrates how to visualize the data using bar charts and add a card visual to display the last order date, providing insights into customer behavior.

What is the primary goal when analyzing the last activity of a customer?

• To identify the last products ordered and their amounts

• To calculate the average order value

• To determine the total number of orders

• To find the first product they ordered

What tool is used to filter data for specific customers in the analysis?

• Pivot Table

• Slicer

• Chart

• Graph

Which DAX function is used to iterate over a table to calculate the last order entry?

• COUNT

• SUM

• SUMX

• AVERAGE

What is the purpose of the TOPN function in this analysis?

• To return the first entry in a table

• To calculate the total sales

• To return the last order entry for a customer

• To sort the data alphabetically

What is the main difference between CALCULATE and CALCULATETABLE functions?

• There is no difference

• CALCULATETABLE is used for charts, CALCULATE for tables

• CALCULATE is faster than CALCULATETABLE

• CALCULATE modifies filter context for expressions, CALCULATETABLE for tables

What is the role of the SUMMARIZE function in this context?

• To calculate the sum of sales

• To create a virtual table for aggregation

• To filter data by date

• To sort data in ascending order

How is the last order date displayed in the visualization?

• Using a card visual

• As a bar chart

• In a table format

• As a line graph

What formatting change is made to the last order date display?

• Adding a border

• Adjusting the font size

• Changing the color

• Rotating the text

Why might a customer be contacted based on the analysis?

• If they ordered the same product multiple times

• If they haven't ordered recently

• If their order value is too low

• If they ordered too many products

What additional insight is gained by adding the last order date to the visualization?

• The specific date of the last order

• The frequency of orders

• The total number of products ordered

• The average order value