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Microsoft Power BI Cookbook

You're reading from   Microsoft Power BI Cookbook Creating Business Intelligence Solutions of Analytical Data Models, Reports, and Dashboards

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781788290142
Length 802 pages
Edition 1st Edition
Languages
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Authors (2):
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Brett Powell Brett Powell
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Brett Powell
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Table of Contents (14) Chapters Close

Preface 1. Configuring Power BI Development Tools FREE CHAPTER 2. Accessing and Retrieving Data 3. Building a Power BI Data Model 4. Authoring Power BI Reports 5. Creating Power BI Dashboards 6. Getting Serious with Date Intelligence 7. Parameterizing Power BI Solutions 8. Implementing Dynamic User-Based Visibility in Power BI 9. Applying Advanced Analytics and Custom Visuals 10. Developing Solutions for System Monitoring and Administration 11. Enhancing and Optimizing Existing Power BI Solutions 12. Deploying and Distributing Power BI Content 13. Integrating Power BI with Other Applications

Building analytics into data models with DAX

Several table-valued functions were added to the DAX language in 2015 that simplify the development of relational and set logic based measures and queries. With functions such as NATURALINNERJOIN(), EXCEPT(), and UNION(), developers can create DAX measures to identify outliers and precise segments of dimensions to better support analysis such as cross-selling and customer retention. Additionally, as many business processes have a corresponding budget or plan, it's important to use Power BI modeling features to build support for actual versus budget reporting.

In this recipe new DAX functions are used to drive two analyses--inactive customers and cross-selling products. Additionally, a data model is modified to support the distinct grains of budget and sales fact tables.

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