You're reading from Learn Power BI A comprehensive, step-by-step guide for beginners to learn real-world business intelligence

Product type Paperback

Published in Feb 2022

Publisher Packt

ISBN-13 9781801811958

Length 458 pages

Edition 2nd Edition

Languages

DAX

Tools

Power BI

Concepts

Business Intelligence

Author (1):

Greg Deckler

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Table of Contents (19) Chapters

Preface

1. Section 1:The Basics

2. Chapter 1: Understanding Business Intelligence and Power BI FREE CHAPTER

3. Chapter 2: Planning Projects with Power BI

4. Section 2:The Desktop

5. Chapter 3: Up and Running with Power BI Desktop

6. Chapter 4: Connecting to and Transforming Data

7. Chapter 5: Creating Data Models and Calculations

8. Chapter 6: Unlocking Insights

9. Chapter 7: Creating the Final Report

10. Section 3:The Service

11. Chapter 8: Publishing and Sharing

12. Chapter 9: Using Reports in the Power BI Service

13. Chapter 10: Understanding Dashboards, Apps, Goals, and Security

14. Chapter 11: Refreshing Content

15. Section 4:The Future

16. Chapter 12: Deploying, Governing, and Adopting Power BI

17. Chapter 13: Putting Your Knowledge to Use

18. Other Books You May Enjoy

Chapter 6: Unlocking Insights

Now that we have built and verified our data model, we will explore the many powerful features within Power BI that allow us to break down, analyze, and unlock insights about our data. These features allow the report author to create compelling stories about the data within the data model, guiding report viewers to the most important insights and information.

Unlocking insights is all about creating reports that allow business users to easily navigate a report seamlessly while providing visualizations that make logical sense to the viewer. This often means that raw data needs to be massaged into groups and hierarchies. In addition, it is important to reduce clutter and only provide data that is relevant to the viewer. Navigational aids allow viewers to seamlessly navigate complex reports intuitively, providing a superior user experience. Finally, advanced analysis techniques are useful for providing a deeper understanding of the data in a visually appealing...