Book Image

DAX Cookbook

By : Greg Deckler
Book Image

DAX Cookbook

By: Greg Deckler

Overview of this book

DAX provides an extra edge by extracting key information from the data that is already present in your model. Filled with examples of practical, real-world calculations geared toward business metrics and key performance indicators, this cookbook features solutions that you can apply for your own business analysis needs. You'll learn to write various DAX expressions and functions to understand how DAX queries work. The book also covers sections on dates, time, and duration to help you deal with working days, time zones, and shifts. You'll then discover how to manipulate text and numbers to create dynamic titles and ranks, and deal with measure totals. Later, you'll explore common business metrics for finance, customers, employees, and projects. The book will also show you how to implement common industry metrics such as days of supply, mean time between failure, order cycle time and overall equipment effectiveness. In the concluding chapters, you'll learn to apply statistical formulas for covariance, kurtosis, and skewness. Finally, you'll explore advanced DAX patterns for interpolation, inverse aggregators, inverse slicers, and even forecasting with a deseasonalized correlation coefficient. By the end of this book, you'll have the skills you need to use DAX's functionality and flexibility in business intelligence and data analytics.
Table of Contents (15 chapters)

Finding new and returning customers

The number of new and returning customers can be important business metrics. New customers are defined as customers making purchases in a specified time period that have never purchased in prior time periods, and returning customers are defined as customers making purchases in a specified time period that have purchased in previous time periods. Understanding how many customers return to make subsequent purchases helps a business understand whether or not they have a customer loyalty issue. This is highly important because retaining customers is generally considered far easier than attracting new customers. In addition, tracking new customers can be an important measure of how well a business is marketing its products and services.

This recipe demonstrates how to calculate new and returning customers using DAX.

...