Introduction to Google Data Studio

For beginners, this tool welcomes you to have a good understanding to build the Reports. Google’s Data Studio is for free, all it needs is logging in with Google’s credentials. Then, using GDS, one can perform many types of flexible Reports using charts, tables i.e., such as Time series, Pie charts, Line, Area, Scatter charts. Especially, if you are a Start-up or freelancer, this is the best pocket-friendly tool to pull out the Analytics in the best form and deliver the same to your end customer, this would allow you to save budget in the Project.

How to use Google Data Studio?

If you are wondering on how to work on and use Google Data Studio, you are at the right place to go for a short trip of the step-by-step process where you will learn it in an easy way and can take back the practices to implement from your end. Usage of this tool is simple, like this, the tool is user-friendly and provides the straight options to avoid confusion of switching between multiple options. Below are the following steps:

Step 1: Ideation of Dashboard

This process requires, imagining the output of the Dashboard, like how it should appear and what are the KPI is needed? What are the important measures to consider? Which date range are we looking into? To have a better understanding, let’s see a below sample A dashboard of “Google AdWords”, where the performance of Campaigns & Ads is measured in terms of KPI’s like Click Through Rate (CTR), Conversion Rate (CR) & Cost per Click (CPC).

Step 2: Gathering All the Data

After understanding the requirements, gathering and transforming the data is the main challenge. Once the data types are defined and clear about the measures & dimensions to take, it is easy to go forward as it gets rid of half the burden. Like many after starting a dashboard, gets stuck here in importing improper datasets and ends up executing half information Charts, where it doesn’t help the end customer to take any actionable insights.

Step 3: Choosing/Create a Template

Google Data Studio provides some defaults, where Dashboards are created with the open-source. One can start with opting any of either template and import the same for your own reference. Like above in Step -1, I have shared with you the preview of “AdWords overview”, the same way you can choose any of these for reducing your time and efforts as templatizing itself takes some serious time.

If you are a beginner, starting with a predefined template makes you understand how the Charts, KPI and Tables are created. Having this, you must be knowing what properties are being used and how the blending operations are performed and what measures are taken into filters can be observed. All these can be done, by reverse-engineering the proven dashboard by going back to each and every option & checking it.

Step 4: Connecting the Data Sources

Knowing what data source to connect is a basic sense, upon having that, knowing authentication logins in hands and data location eases this task, rather connecting and searching for the data inside the searching server. Usually, Google’s data studio allows you to connect with multiple data sources i.e., 17, but these are limited to a few important sources like

File upload from Computer
Google Ads
Attribution 360
Big Query
Cloud Spanner
Cloud SQL
Many more etc.

Step 5: Edit Fields/ Connection

Here, you can edit the fields by picking the required ones and can remove the unnecessary which comes by default through the connections. If at all, you regret the connection, it can be edited by changing and updating to a newer one. Once, you are sure, everything is all set and good to go, click on Create Report.

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Step 6: Overview and Usage of Toolbar

Once you open a blank report, this is the screen you will be seeing, like a whiteboard with the grid lines at a lighter tone on the background. First things first, before starting any operation, you should be aware of the options within the Toolbar or the Menu.

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Section A: This section of the toolbar is to create a new page with the same Report. Pages can be switching between one to the other one.
Section B: This section is to pick the pointer and Undo/Redo options available to take back or go forward to the performed action. This will be done either going for shortcut pressing CTRL+Z for Undo and CTRL+Y for Redo.
Section C: This section is the most important one, where we can pick the type of chart/table/calendar/geographical and all. The selection of the chart can be changed at any point in time for the relevancy and convenience of the end-user. Having knowledge of all the charts would help you to choose the most relevant one.
Section D: This section to insert the text boxes and images from your local computer and apply the same on the dashboard.
Section E: This section helps you to pick the date range and set up the filters for the Dashboard.

Step 7: Blending of the Data Sources

Blending is a concept of joining two different data sources making through a primary/foreign key. This is to provide a relation between the data sources, so the operation performed on those will be on the same page level. This technique is commonly used in Data Visualization tools like Tableau and Power BI etc.

Step 8: Date Range & Filters

This Date range option is to set up the calendar option and see the number the active dates of data that is connected. Like here, we are seeing the data between 12^th Nov’19 to 11^th Dec’19, like the same we can choose the specific period to see. Another option is Filter control, this where we see the types of filters on the sheet or connection, by choosing the one among them, the data is segregated.

Step 9: Formatting & Contouring

Having proper formatting like the alignment of boxes one after the other and top to the bottom, where color combinations are taken into consideration according to the project working on. Example, If Customer has a preference of Blue & Black combination, going with that is a safe option

Conclusion – How to use Google Data Studio?

Using this tool has been conveyed theoretically and practically shown over snapshots. I hope this article has helped to have a better understanding. A suggestion is to have a hands-on experience, start picking sample data available online and work on a Report to get confidence over this Google Data Studio. Happy learning folks!!