Data Studio is relatively new dashboard tool from Google, launched in mid-2016. It’s a superb tool for creating professional looking reports, easily and quickly, and it connects seamlessly to other Google data sources (e.g. Analytics, AdSense, Sheets, …).
Do you work with data outside of Google’s ecosystem though?
I’ll go out on a limb here, and say, yes, most likely you do.
Perhaps you’re a digital marketing analyst looking at Facebook, Twitter, Instagram, MailChimp data (etc…) for example.
Many of us work with other web services and you want that data displayed in Data Studio. With the launch of native data Community Connectors, you can connect to your favorite web services and access data that lives outside the Google ecosystem directly!
Want tons of great Google Sheets, Apps Script and Data Studio resources in one place?
Then you’ll love this list.
These are my go-to resources when I’m building spreadsheet applications for clients or developing content for this blog. I have hundreds of bookmarks on the subject but here I’ve whittled it down to just the very best.
Feel free to suggest any other resources in the comments below!
Regular readers will know of my enthusiasm for building dashboards, especially using Google apps (like this one or this how-to article).
So I was super excited in May of this year (2016) when Google launched Data Studio, a free data visualization and dashboard tool to compete against incumbent dashboard vendors Microsoft PowerBI, Tableau and Qlickview.
Here, I’m excited to share my initial impressions and show you some of the basics steps to build dashboard reports using this tool.
I’ve been using it these past few days to build several different test dashboards.
First impressions: I love it. It’s simple and intuitive. Impressive.
Of course, since it’s a beta launch and it’s a nascent product, there are still areas where it’s lacking sufficient depth or flexibility and it’s a little buggy in places (see discussion below) but overall it’s a significant entrance into the Business Intelligence world for Small and Medium Businesses.
For Enterprise businesses, Google has Data Studio 360 – the full-fat, paid platform.
This article focusses on the free Data Studio version.
Data Studio: The smart way to build dashboards and reports with your Google data
So, another data analysis tool? What’s the value proposition here then?
The premise is that you can connect all of your disparate business data sources (only Google services at the moment but there are other non-Google data connections coming soon) and easily build beautiful, interactive dashboard reports to display that information. And all atop Google’s super-reliable, powerful, scalable architecture. Plus, as with so many Google products, it’s free.
It’s a simple drag-and-drop process to add charts and build reports, and it doesn’t require any knowledge of coding. That makes it super quick to create and modify reports. There’s a boat-load of data and formatting options so you can customize reports to match your needs.
Example: Social Media Reporting Dashboard with Google Data Studio
Want to see what this tool is really about? Heck yeah, I thought so!
Well there’s no better way to do this than seeing a real dashboard with real data.
So I’ll show you a dashboard for reporting social media referral traffic of a mid-size website (~500k pageviews a month). I’ll show some of the steps below and discuss how easy it is.
Great, well here’s our dashboard:
I’m not going to go through every step in detail, instead I’ll mention a few of the main steps and key points to keep in mind.
There are three steps to using Data Studio: 1) connecting to a data source, 2) creating visualizations in a dashboard, and 3) sharing your finished creation.
Step 1: Setting up Data Studio and connecting to a data source
You’ll be taken to your home page, showing a bunch of example Google templates (well worth a look) and any of your own dashboards:
Clicking the big blue plus in the bottom right of the home page creates a new dashboard from where you can connect to different Google data sources:
I’ve chosen to connect to Google Analytics and then to a specific web property, as shown in the following image:
This imports all of the data into my report and makes it available for charting or displaying on my dashboard. I discuss these steps in more detail in the video at the beginning of this post.
Step 2: Creating visualizations and creating a dashboard
In the control bar along the top of the window, there are 9 chart types available (line, bar, pie, table, geographic, scorecard, scatter plot, bullet chart and area chart) and the ability to add images, text, rectangles and circle shapes. Plus there are two filters available: date and a general “type” filter.
Adding charts is as simple as selecting the one you want in the toolbar, then creating a container for it somewhere on your dashboard canvas. Google will then build the chart, with some default data (which you can easily modify). The following GIF shows this step, along with changing the data being displayed and formatting the chart:
I’d encourage you to play around with the tool for a while at first, adding and deleting different charts to get a feel for what they look like and what sort of data they can display. There’s more info in the video at the start of this post.
For the Social Media dashboard above, I’ve made use of line charts, tables, scorecards and a geographic map. I’ve added a filter to the data source to restrict the data to show Social visits only:
Once you’ve finished building, switch to view mode to lock everything down and remove the gridlines. The filters still work in this view mode.
Switching between editing and viewing mode is done by toggling the blue toggle switch in the top R corner of the window, as shown in the following GIF:
Step 3: Sharing your dashboard
As a final step, you’ll probably want to share your dashboard with colleagues, clients or friends. Click the big Share button in the top R corner of the screen to bring up the share menu pane.
Here, you can enter email addresses of people you want to share the dashboard with or, as shown in the following image, copy the shareable link and send that to people, share on social media or your website. In both cases you can control whether others will have editing access or see the dashboard as view-only.
What I really liked about Data Studio
It’s flexible and can connect to multiple different data sources.
It’s super easy to create charts. Without too much effort you can produce really professional-looking, slick dashboards.
It’s really quick to create reports.
There’s a huge level of customization, especially with the Google Analytics data connection.
Multiple pages allow you to create a hierarchy of dashboards of increasing levels of detail/complexity, to tell a story.
Best of all, the data range and filter range controls are very easy to implement but incredibly powerful in how they work.
And of course, like many Google products, it’s free!
On a similar note, snapping to a grid to help line up objects would be helpful. Provided it could be toggled on/off of course!
More data connections, for example to SQL databases. This is coming soon…
I’d love to see more granular control over the chart details, for example formatting of the axes and working with data labels. The range of options is a great step in that direction and you can already make beautiful looking charts but this would take it to the next level.
I could not select multiple items by holding down the Ctrl (or Cmd) key and selecting, which struck me as odd. You can select multiple objects by dragging and holding the cursor across them however.
When I tried sharing, I was prompted to log into Google despite choosing the option to share with anyone. So, it seems that non-Google users can not view these dashboards at the moment.
When in Full Screen display mode, the page buttons are hidden and barely accessible, making it difficult to navigate through the dashboard.
If you’re invested in the Google ecosystem, work with data, especially Google Analytics, then I’d encourage you to give it a try. I’m sure Google will invest in this product and build out the features and data connection options. It’ll be interesting to see where it goes and how it competes with Microsoft’s PowerBI and other vendor offerings.