Book Image

Extreme DAX

By : Michiel Rozema, Henk Vlootman
Book Image

Extreme DAX

By: Michiel Rozema, Henk Vlootman

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)
Free Chapter
1
Part I: Introduction
6
Part II: Business cases
15
Other Books You May Enjoy
16
Index

The Five-Layer model for business intelligence

To be able to discuss analytics in a structured and comprehensive way, we have developed a simple framework that describes the main components and responsibilities in an analytics solution. We have given it an equally simple name: the Five-Layer model.

Figure 1.1: The Five-Layer model

The first and lowest layer, Connect, is the starting point of analytics: if you want to analyze data, those data must come from somewhere. They could reside in Excel sheets, text files, large business databases, or somewhere on the Internet.

These raw data aren't typically in the right format to be able to analyze, especially when they come from different sources. Therefore, you need to Prepare your data. Preparation can take many forms, like imposing certain data types, transforming data, building data history, or matching data based on key attributes.

Creating nice and clean datasets in the Connect and Prepare layers can take...