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 (KPIs), this cookbook features solutions that you can use for your own business analysis needs.
You'll learn how to write various DAX expressions and functions in order to understand how DAX queries work. This book also contains 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 in order to create dynamic titles and ranks and deal with measure totals. Later, you'll explore common business metrics for finance, customers, employees, and projects. This book will also show you how to implement common industry metrics such as days of supply, mean time between failures, order cycle time, and overall equipment effectiveness. In the concluding chapters, you'll learn how 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.
