Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Microsoft Power BI

You're reading from   Mastering Microsoft Power BI Expert techniques for effective data analytics and business intelligence

Arrow left icon
Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788297233
Length 638 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Planning Power BI Projects FREE CHAPTER 2. Connecting to Sources and Transforming Data with M 3. Designing Import and DirectQuery Data Models 4. Developing DAX Measures and Security Roles 5. Creating and Formatting Power BI Reports 6. Applying Custom Visuals, Animation, and Analytics 7. Designing Power BI Dashboards and Architectures 8. Managing Application Workspaces and Content 9. Managing the On-Premises Data Gateway 10. Deploying the Power BI Report Server 11. Creating Power BI Apps and Content Distribution 12. Administering Power BI for an Organization 13. Scaling with Premium and Analysis Services 14. Other Books You May Enjoy

Developing DAX Measures and Security Roles

This chapter will detail the implementation of DAX measures and security roles for the dataset developed in the previous two chapters. First, a set of base measures for each business process are created, representing business definitions such as gross and net sales, cost of sales, and margin percentages. The base measures are then leveraged in the development of date intelligence calculations including year-to-date (YTD) and year-over-year (YOY) growth. Additionally, a set of customs measures are created, including exceptions, rankings, and KPI targets to further extract insights from the dataset and simplify report visualizations.

This chapter will also contain examples of dynamic security models in which the identity of the logged in user is used to filter the dataset. Finally, guidance will be provided on testing the performance of...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image