Power BI Masterclass - Learning DAX: Customer Classification with Custom Label Calculation

The video tutorial explains how to classify customers based on their transaction history over the last 30 days. It involves creating a helper table with classification labels and thresholds, implementing a DAX formula to assign labels, and using filter functions to ensure accurate context modification. The tutorial also covers testing and refining the formula to improve classification logic.

How are risky customers defined in terms of transaction numbers?

Explain the process of creating a helper table for customer classification.

What are the three classifications for customers mentioned in the text?

How can the classification labels be modified according to the text?

What is the threshold for average customers according to the text?

What is the purpose of using a high number as a threshold for top customers?

Describe how the selected value function is used in the customer classification.

What should be done if a customer has no transactions in the last 30 days?

What is the significance of using a filter function in the classification process?

How does the formula ensure that only one label is returned for each customer?