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Google Dashboards: What They Are and How to Build One

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SkillVeris Team

AI Research Team

Sep 12, 2024 8 min read
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Google Dashboards: What They Are and How to Build One
Key Takeaway

A Google dashboard is a visual, often interactive summary of data pulled from Google sources like Analytics, Ads, or Sheets into one shared view.

In this guide, you'll learn:

  • Looker Studio, formerly Google Data Studio, is Google's free dedicated dashboarding tool and the most common way to build one.
  • Simple dashboards can also be built directly in Google Sheets using charts, pivot tables, and conditional formatting.
  • Dashboards refresh automatically when connected to a live data source, removing the need to manually update reports.
  • Good dashboards are built around a small set of clear questions rather than trying to show every available metric at once.

1What Is a Google Dashboard?

A Google dashboard is a visual summary of data, typically built in Looker Studio or directly in Google Sheets, that pulls from one or more Google data sources into a single interactive view. It replaces manually compiled reports with a live, shareable page that updates as the underlying data changes.

The term is not a single specific product; it usually refers to Looker Studio reports connected to sources like Google Analytics, Google Ads, or Google Sheets, though a well-organized Sheet with charts can also function as a simple dashboard.

2Looker Studio: Google's Dedicated Dashboard Tool

Looker Studio, previously known as Google Data Studio, is Google's free tool specifically built for creating shareable, interactive dashboards from connected data sources.

It supports direct connectors to Google Analytics, Google Ads, Google Sheets, and BigQuery, along with many third-party connectors, letting you combine multiple sources into a single report without manual copy-pasting.

  • Data sources: connect once, and every chart built from that source updates automatically.
  • Charts and tables: drag-and-drop visualizations including time series, bar charts, and scorecards.
  • Filters and date range controls: let viewers interact with the same underlying report differently.
  • Sharing: reports can be shared like any Google Workspace file, with view or edit permissions.

3Building a Simple Dashboard in Google Sheets

For smaller or simpler needs, a dashboard built directly in Google Sheets using charts, pivot tables, and conditional formatting can be sufficient, especially when the audience is small and the data already lives in Sheets.

This approach is faster to set up than Looker Studio but scales less gracefully, since combining multiple large data sources or building highly interactive filters is more limited than a dedicated dashboarding tool.

4How Data Flows Into a Google Dashboard

Once a data source is connected, whether it is Analytics, Ads, or a Sheet, the dashboard queries that source directly rather than storing a static copy, which is why the numbers change automatically as the underlying data changes.

This live connection is the key advantage over a manually built report: instead of re-exporting numbers every week, the same dashboard link always reflects current data, within the source's own refresh schedule.

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5Designing a Dashboard People Will Actually Use

Start from a small set of specific questions the dashboard needs to answer, such as how weekly signups are trending, rather than trying to display every available metric on one page.

Group related metrics together, keep the most important numbers near the top, and use consistent chart types across similar metrics so the report is easy to scan rather than requiring re-interpretation for every section.

  • Lead with a handful of key scorecards before detailed charts.
  • Use consistent date ranges and filters across the whole report.
  • Label charts clearly enough that they make sense without a verbal explanation.

6Sharing and Permissions

Sharing a Google dashboard follows the same permission model as any other Google Workspace file: you can grant view-only access, editing access, or restrict a report to specific people or a domain.

Because dashboards often surface sensitive business metrics, apply the same access review discipline you would to any shared internal document, rather than defaulting to broad link sharing.

7Common Mistakes When Building Dashboards

The most common mistake is cramming too many metrics onto one page, which makes it harder, not easier, for viewers to find the number that actually matters to them.

A close second is leaving filters or date ranges inconsistent across charts, which can make two numbers on the same page appear contradictory when they are actually just measuring different time windows.

8Getting Started With Your First Dashboard

Start with a single data source and three to five key metrics, get that first version working end to end, and only then add more sources or complexity as real usage reveals what is actually needed.

SkillVeris's data and analytics topics cover the broader skills, like SQL and data visualization principles, that make dashboards like this genuinely useful once you move beyond Google's own tools.

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About the Publisher

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SkillVeris Team

AI Research Team

Our AI team covers the latest in machine learning, generative AI, and emerging tech — clearly and accurately.

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