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 mean time between failures

While there are a variety of applications for the concept of mean time between failures (MBTF), this metric is perhaps most often used in the manufacturing industry. MTBF measures the average amount of uptime a mechanical or electrical system has before some kind of failure interrupts normal operation. This concept is perhaps best conveyed in the following diagram:

Starting from the left of the preceding diagram, the machine or system is operational up until the point of failure. At this point, the machine or system must be repaired. After repairs have been completed, the system is operational once again, up until the point of a second failure. The time between the system becoming operational after the first failure and the time of the second failure is the time between failures. MTBF averages this amount of time between failures over...