Book Image

Data Storytelling with Google Looker Studio

By : Sireesha Pulipati
Book Image

Data Storytelling with Google Looker Studio

By: Sireesha Pulipati

Overview of this book

Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you’ll delve into features and capabilities of Looker Studio – from basic to advanced – and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that’ll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio.
Table of Contents (17 chapters)
Free Chapter
1
Part 1 – Data Storytelling Concepts
5
Part 2 – Looker Studio Features and Capabilities
10
Part 3 – Building Data Stories with Looker Studio

Summary

In this chapter, we have discussed what data storytelling is and how it’s distinguished from data visualization. We have understood the core elements of a data story and how data stories differ for static and dynamic content. We have learned about the 3-D approach to building data stories for dashboards that comprises three major stages: determine, design, and develop. In the determine stage, we determine the target users of the dashboard, the key business questions that the dashboard needs to address, and the data required to answer those questions. In the design stage, we build the narrative, define the right metrics, and choose the right visualizations and interactivity. Finally, in the develop stage, we actually build the visuals and interactions and choose the colors and other visual aspects. We also deliver the dashboard to the end users and ensure data freshness as part of this final stage.

It is really important to have a good understanding of the data storytelling...