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

Exporting GA4 data to BigQuery

Exporting GA4 data to BigQuery, Google’s cloud data warehouse, helps you analyze large volumes of data and perform complex data transformations and queries efficiently. While it may seem like overkill for Looker Studio report usage monitoring, especially at smaller data volumes, exporting raw Analytics data to BigQuery provides benefits such as the following:

  • Combining Analytics data with other sources of data easily, either within BigQuery itself or by exporting it to other systems from BigQuery as needed
  • Querying and reporting on complete data without any sampling involved
  • Manipulating data in ways not easily possible with GA and Looker Studio
  • Performing historical analysis beyond the GA limit of 14 months
  • Access to more granular data (session-level, event-level, user-level) and additional attributes (for example, geographical hierarchy).

Follow these steps to export GA4 data to BigQuery:

  1. From the GA4 ADMIN...