#### 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.
Preface
Thinking in DAX
Tangling with Time and Duration
Transforming Text and Numbers
Evaluating Employment Measures
Processing Project Performance
Calculating Common Industry Metrics
Solving Statistical and Mathematical Formulas
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# Figuring Financial Rates and Revenues

It is rare for a business to not closely track and regularly report on financial metrics. Financial metrics are perhaps the best measure of the health of a business or organization. While many financial metrics have relatively simple math behind them, calculating these metrics based on raw financial data and at varying levels within the organization can sometimes prove challenging. This chapter is all about demonstrating how to calculate common financial metrics or KPIs. We will provide useful recipes whose techniques can be applied in a variety of situations.

In this chapter, we will cover the following recipes:

• Computing gross margin, revenue, and cost
• Building a revenue growth rate
• Generating an accounts payable turnover ratio
• Fashioning the market share and relative market share
• Determining compound interest
• Working with periodic revenue...