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)

Computing the customer acquisition cost

The customer acquisition cost, or CAC, is the cost of all activities related to convincing a customer to purchase goods or services from a business for the first time. The CAC is generally computed in the aggregate, meaning the average cost of acquiring new customers within a given period of time. By itself, the CAC can be a useful measure for comparing different types of sales and marketing activities that lead to new customers. However, the CAC is perhaps most useful when used in conjunction with other metrics such as the CLV. See the Calculating the customer lifetime value recipe in this chapter.

This recipe provides an example of calculating the CAC for marketing campaigns as well as the total cost of acquiring new customers within a specific range of time.

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