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Extreme DAX

Extreme DAX

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

Extreme DAX

4.9 (44)
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)
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Free Chapter
1
Part I: Introduction
6
Part II: Business cases
15
Other Books You May Enjoy
16
Index

How to approach solution development

Power BI models and DAX enable a different way to develop BI solutions with much deeper involvement from businesspeople. This leads to solutions that deliver insights that optimally add value to the business.

The traditional, IT-centric way to create BI solutions is to start with connecting to data sources and preparing data. At first glance, this sounds like the right thing to do; after all, we need good data to have good and valuable insights.

Figure 1.6: The traditional BI solution development approach

This approach is typically materialized in the development of an enterprise data warehouse. The idea behind having a data warehouse is to store all of the organization's data in a single place, and to use that as the foundation for all reporting.

It should be clear that this can be a major undertaking, as organizations have many different systems, with lots of different data in them. The data warehouse is traditionally...

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