Book Image

DAX Cookbook

By : Gregory Deckler
Book Image

DAX Cookbook

By: Gregory 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)

Estimating earned value

Earned value, or EV, is a common metric that's used within the discipline of project management. The concept of earned value is relatively straightforward. Earned value is simply calculated by multiplying the completion percentage of a task by that task's planned value. Thus, the planned value of tasks is a necessary input in order to calculate the earned value. To learn how to calculate Planned Value, please refer to the Projecting planned value recipe in Chapter 8, Processing Project Performance. The earned value metric is often used as an early warning indicator that a project may be in danger of running over budget or past its expected end date.

This recipe demonstrates how to calculate the earned value for individual tasks as well as how to display the cumulative earned value of a project over time.

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