Data analysis

The 8 best features of Google Data Studio for data analysis and visualization

Proper data visualization is vital to the success of your team. Data visualizations show how your project is progressing or how you are doing in terms of revenue. Data Studio comes in handy for such productive data analysis because it is an easy-to-use tool with many modern features.

You can become your own data analysis expert by knowing various essential features of Data Studio. So read on to become the master of this platform.

What is Google Data Studio?

It is an online tool that helps you view data effortlessly and for free. You can choose from a wide variety of data sources, including Google Sheets and Microsoft Excel files. Google Data Studio’s AI automatically combines data from multiple sources, analyzes that data, and lets you create interactive charts, dashboards, or reports.

All you have to do is select the charts or tables you want in your report and add colorful themes to them. You don’t need to take in-depth learning sessions to familiarize yourself with the tool. You can simply drag and drop charts onto the canvas to create regular project reports, team performance reports, project budget forecasts, and more.

Below are the features and functionality of Data Studio that will help you get started with basic but actionable reports.

1. A clever dashboard

An image showing the Google Data Studio dashboard

Data Studio’s dashboard and user interface resembles that of Google Drive. So, you already know a lot about the user interface of the tool. Here are the essentials you will interact with a lot:

  1. the Search in Data Studio at the top allows you to search for reports, models and data sources.
  2. The Recents section gives you the option to swap visibility for Reports, Information source, and Explorer.
  3. The left menu allows you to create a new report, data source or explorer. You can also find shared items and the Templates gallery in this space.
  4. The gear icon in the upper right corner allows you to customize several fields of the User settings.

2. Multiple sources of data collection

Data Studio saves you the trouble of managing multiple versions of Google Sheets or Microsoft Excel files related to your work. The tool can analyze raw data from over 800 datasets on over 490 data connectors. Therefore, now you can import data from third-party sources like Funnel, TapClicks, Amazon Seller Central, Asana, Jira Cloud, etc.

Additionally, you can allow the tool to access and analyze data from Google tools such as Campaign Manager 360, Google Analytics, MySQL, and Google Sheets.

You don’t have to worry about data integrity and security when using Data Studio. It uses strong encryption technologies to protect your data in transit and within the tool.

3. Performance-driven in-memory BI engine

Let’s say you present a project performance report to your client. Although you have high-end and modern tools in your data visualization arsenal, the presentation does not go well as the data continues to load. Additionally, when working with many data sources, the lag can be even worse.

Data Studio delivers sub-second performance thanks to the BI engine from the Google Cloud BigQuery team. It is an in-memory data access and analysis service that can integrate with your internal BigQuery data warehouse. As a result, you can present live data from hundreds of sources in a dashboard that updates and loads instantly.

4. Interactive data visualization

The display mode of the Data Studio report is very responsive thanks to advanced programming features such as graph interaction controls, top-down analyzes and interactions between graphs. Therefore, a user can customize almost everything from filters to metrics to discover various information from your reports.

Data Studio Explorer allows the user to immerse themselves in your report by dissecting your charts and tables into small pieces of data. Users also do not need to be SQL database experts when viewing the databases in a report. There are visual queries that users can run to explore databases.

5. Real-time collaboration

A visual showing the sharing options of Google Data Studio

Like other productivity tools from Google, you and your employees can work on the same Data Studio report in real time. From the Share menu at the top of the report, you can invite people to work with you, manage their access levels, or get a public link for social media.

When you share your Data Studio workspace with someone else, their Google profile will appear in the menu bar if they join you. Other notable features that facilitate collaborative work on Data Studio are:

  1. Let collaborators edit a reusable data source and add it to their own reports.
  2. Integrate a Data Studio report into various media like newsletters, emails, blogs, etc.
  3. Prevent third parties from printing, downloading or copying your Data Studio reports.

Related: Mural’s Best Features For Visual Collaboration

6. Ease of use

Its web user interface is easy to use and Google Workspace users are already familiar with navigation. The report editing workspace offers comprehensive drag and drop actions. You can access custom property panels for each object that you use in your reports.

You also don’t need to learn much about charts and tables if you’re using ready-made models from Data Studio. the Templates The library consists of eight types of report categories to choose from.

7. Schedule a report

An image showing the reporting schedule on Google Studio

Sharing the data visualization report on a regular basis or as per customer preference is an important task. When you’re multitasking and taking care of the team, you might forget to send project reports to your client.

With Data Studio’s Schedule Email Delivery feature, you can plan ahead. You can create a report for your customer and schedule the delivery.

Data Studio will automatically notify your customer when the report is due. Additionally, you can change the repeat settings to tell the tool if the customer needs to see reports after particular intervals.

8. Various tables and graphs

An image showing Google Data Studio charts

Data Studio offers 14 different types of charts that you can insert into your reports. Whether you need bar, pie, or line charts, most of them are available with just one click. The in-memory BI engine analyzes the type of data and structures it based on the charts or tables that you select.

Besides graphics, you can also insert Community visualizations in your report to make it look professional and creative. You have free access to various visualizations like the Gantt chart, the radar chart, the gauge, the starting note, etc.

Know your data inside out

Now that you know the different features of Data Studio and how they help you with data analysis, you can create interesting data visualizations for the job. Go ahead and try to create interactive reports that help you and your team plan for future projects.

As you are on your way to becoming an expert data analyst, you might also want to explore the basics of data analysis and their importance in working life.

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