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  • Book Overview & Buying Extreme DAX
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Extreme DAX

Extreme DAX

By : Michiel Rozema, Henk Vlootman
4.9 (44)
Buy this Book
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Extreme DAX

Extreme DAX

4.9 (44)
By: Michiel Rozema, Henk Vlootman
Buy this Book

Overview of this book

This book helps business analysts generate powerful and sophisticated analyses from their data using DAX and get the most out of Microsoft Business Intelligence tools. Extreme DAX will first teach you the principles of business intelligence, good model design, and how DAX fits into it all. Then, you’ll launch into detailed examples of DAX in real-world business scenarios such as inventory calculations, forecasting, intercompany business, and data security. At each step, senior DAX experts will walk you through the subtleties involved in working with Power BI models and common mistakes to look out for as you build advanced data aggregations. You’ll deepen your understanding of DAX functions, filters, and measures, and how and when they can be used to derive effective insights. You’ll also be provided with PBIX files for each chapter, so that you can follow along and explore in your own time.
Table of Contents (17 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
Lock Free Chapter
1
Part I: Introduction
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Part I: Introduction
2
1.1 DAX in Business Intelligence
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1.1 DAX in Business Intelligence
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The Five-Layer model for business intelligence
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Enterprise BI and end-user BI
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Where DAX fits in, and where to find it
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Tools to develop models and DAX
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Powered by DAX: visual, interactive reports
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How to approach solution development
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The digital transformation cycle
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Summary
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1.2 Model Design
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1.2 Model Design
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Columnar data storage
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Data types and encoding
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Relationships
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Effective model design
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Memory and performance considerations
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Summary
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1.3 Using DAX
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1.3 Using DAX
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Calculated columns
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Calculated tables
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Measures
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DAX security filters
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DAX queries
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Date tables
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Best practices in DAX
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Summary
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1.4 Context and Filtering
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1.4 Context and Filtering
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The Power BI model
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Introduction to DAX context
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DAX filtering: Using CALCULATE
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Time intelligence
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Changing relationship behavior
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Table functions in DAX
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Filtering with table functions
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DAX variables
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Summary
6
Part II: Business cases
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Part II: Business cases
7
2.1 Security with DAX
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2.1 Security with DAX
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Introduction to row-level security (RLS)
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Securing hierarchies using PATH functions
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Securing attributes
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Securing aggregation levels
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Summary
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2.2 Dynamically Changing Visualizations
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2.2 Dynamically Changing Visualizations
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The business case
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Dynamic measures
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Dynamic labels
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Combining dynamic labels and dynamic calculations
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Summary
9
2.3 Alternative Calendars
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2.3 Alternative Calendars
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Week-based and Gregorian calendars
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Creating a week-based calendar table
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Time Intelligence calculations for week-based calendars
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Keeping your report current
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Summary
10
2.4 Working with AutoExist
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2.4 Working with AutoExist
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The Power BI model
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How Power BI visualizes the output of a model
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What AutoExist is, and what it does
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Example: The case of the missing workdays
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How to solve the missing workdays problem
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Optimizing report performance with AutoExist
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Summary
11
2.5 Intercompany Business
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2.5 Intercompany Business
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Modeling the QuantoBikes sales process
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Business between subsidiaries
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Future sales
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Summary
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2.6 Exploring the Future: Forecasting and Future Values
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2.6 Exploring the Future: Forecasting and Future Values
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Financial calculations
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Financial DAX functions
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The business case and model
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Calculating Future Value (FV)
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Calculating Net Present Value (NPV)
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Calculating the Internal Rate of Return (IRR)
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Calculating cost-covering rent
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Summary
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2.7 Inventory Analysis
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2.7 Inventory Analysis
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Data modeling for status-oriented data
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Basic inventory calculations
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Inventory forecasting
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Summary
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2.8 Personnel Planning
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2.8 Personnel Planning
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The Power BI model
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Calculating sales
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Calculating FTEs needed
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Optimizing the Power BI model
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Considering aggregation levels
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Summary
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Other Books You May Enjoy
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Other Books You May Enjoy
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Index
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Index

Exploring the Future: Forecasting and Future Values

Forecasting is a commonly used method to estimate the future value of investments. Power BI is a great tool for visualizing forecasts in an effective way based on DAX calculations. Financial functions in DAX allow for analyzing multiple scenarios to investigate the result of investments.

The business case in this chapter focuses on insights into the value of an investment over time. As a specific example, think of acquiring a property to rent out: after an initial investment, incoming and outgoing cash flows are to be expected in the future. The value of a single dollar in the future is different from a dollar in the present; this is due to inflation, but is also related to the option to invest the dollar from the present to earn a return over time. Future cash flows therefore need to be adjusted to make them comparable to today's investment and ultimately to answer the question: is this a good investment to make?

As...

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