finelybook
DAX Cookbook: Over 120 recipes to enhance your business with analytics,reporting,and business intelligence
by 作者: Greg Deckler
pages 页数: 552 pages
Publisher Finelybook 出版社: Packt Publishing (March 18,2020)
Language 语言: English
ISBN-10 书号: 1839217073
ISBN-13 书号: 9781839217074
Book Description
Solve real-world business problems by 作者: learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI,SQL Server,and Excel.
DAX provides an extra edge by 作者: 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.
What you will learn
Understand how to create common calculations for dates,time,and duration
Create key performance indicators (KPIs) and other business calculations
Develop general DAX calculations that deal with text and numbers
Discover new ideas and time-saving techniques for better calculations and models
Perform advanced DAX calculations for solving statistical measures and other mathematical formulas
Handle errors in DAX and learn how to debug DAX calculations
Understand how to optimize your data models
Contents
Preface
Chapter 1: Thinking in DAX
Chapter 2: Dealing with Dates and Calendars
Chapter 3: Tangling with Time and Duration
Chapter 4: Transforming Text and Numbers
Chapter 5: Figuring Financial Rates and Revenues
Chapter 6: Computing Customer KPIs
Chapter 7: Evaluating Employment Measures
Chapter 8: Processing Project Performance
Chapter 9: Calculating Common Industry Metrics
Chapter 10: Using Uncommon DAX Patterns
Chapter 11: Solving Statistical and Mathematical Formulas
Chapter 12: Applying Advanced DAX Patterns
Chapter 13: Debugging and Optimizing DAX
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Index
