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Data Storytelling with Google Looker Studio

You're reading from   Data Storytelling with Google Looker Studio A hands-on guide to using Looker Studio for building compelling and effective dashboards

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781800568761
Length 464 pages
Edition 1st Edition
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Author (1):
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Sireesha Pulipati Sireesha Pulipati
Author Profile Icon Sireesha Pulipati
Sireesha Pulipati
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1 – Data Storytelling Concepts FREE CHAPTER
2. Chapter 1: Introduction to Data Storytelling 3. Chapter 2: Principles of Data Visualization 4. Chapter 3: Visualizing Data Effectively 5. Part 2 – Looker Studio Features and Capabilities
6. Chapter 4: Google Looker Studio Overview 7. Chapter 5: Looker Studio Report Designer 8. Chapter 6: Looker Studio Built-In Charts 9. Chapter 7: Looker Studio Features, Beyond Basics 10. Part 3 – Building Data Stories with Looker Studio
11. Chapter 8: Employee Turnover Analysis 12. Chapter 9: Mortgage Complaints Analysis 13. Chapter 10: Customer Churn Analysis 14. Chapter 11: Monitoring Report Usage 15. Index 16. Other Books You May Enjoy

Summary

In this chapter, you learned about the customer churn problem in subscription businesses and went through the step-by-step process of building a dashboard to monitor key customer churn metrics for a broadband service provider. You used the 3D approach to dashboard building by first Determining the target audience, the business questions that the dashboard needs to address, and the data available to meet the needs. Then, you defined the right metrics, chose the appropriate visualization types, and Designed the wireframe of the dashboard. After that, you Developed the dashboard by setting up and enriching the data source and then building various visualizations and components based on the dashboard’s objectives and the wireframe. You used blending to implement certain complex metrics. In the next chapter, you will learn how to track and monitor Looker Studio report usage using Google Analytics.

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