With the emergence of data visualization tools, you can easily embed various data sources on user-friendly dashboards for your business. Data visualization has transformed the way any business user looks at various data points and derives valuable insights from it.

Are you using the Google Analytics tool to monitor your website traffic along with the website pages that are most visited by users? Then, it’s time to embed real-time Google Analytics data into your business dashboard.

So, what are the business benefits of using a Google Analytics dashboard? And how can you go about including Google Analytics data in your dashboard? We shall provide the answers in the remaining sections.

What is the Google Analytics API Dashboard?

Also referred to as Google Analytics Embed API, Google Analytics API is a popular JavaScript library that can be used for creating and embedding a Google Analytics dashboard on any websites. As a data analyst, you can build a dashboard using Google Analytics Embed API using a set of multiple components that can be plugged into any dashboard.

Why is the Google Analytics Embed API library so popular among developers? Here are some of its capabilities:

  • Easy access to the Google Analytics sign-in account for dashboard users.
  • Multiple views of the Google Analytics source data dashboard that facilitates easy comparisons of your business analytics data.
  • Easy integration with the Google Charts tool for providing data visualizations as seen in any Google Analytics tool.
  • Allows the use of third-party data visualization tools including D3.js and Chart.js.
  • Build your own JavaScript components for easy sharing and reuse.

So, how does the Google Analytics API dashboard enable better data analytics and tracking? Let’s answer this in the next section of this Google Analytics Embed API tutorial.

How Google Analytics API Dashboard benefits Data Analytics and Tracking

The Google Analytics Embed API library enables better data analytics and tracking through capabilities such as:

Creating a basic dashboard

Allows developers to create and render a basic dashboard containing charted data such as the website traffic over a specific duration. Additionally, you can update this data from any Google Analytics view.

It allows developers to create and render a basic dashboard containing charted data such as the website traffic over a specific duration. Additionally, you can update this data from any Google Analytics view.

For example, this “Traffic Tracking” dashboard that also provides data insights into the various sources of website traffic.

Provides built-in user interactivity

Google Analytics API dashboards with interactive charts allow users to explore deeper into the data and recognize data-based patterns and trends. One such capability is to be able to apply filters on one chart and drill down the chart element to open another chart with the same filtering.

Creating your own customized components.

You can easily build a dashboard using Google Analytics Embed API with its integrated and built-in components. Additionally, you can create your own customized components using Google Analytics API for more convenience and functionality.

What’s more, you can include third-party Google Analytics API components on your dashboard page by using the <script> tag.

Enable multiple views of your dashboard.

The Google Analytics tool does not support multiple or side-by-side views of your business data. However, the same can be implemented using the Google Analytics Embed API library.

For example, powered by the Google Analytics API, the Google Analytics Spreadsheet add-on tool allows you to post queries and report data using multiple views.

Monitor multiple Google Analytics account.

Enabled by this API library, the Google Analytics dashboard can be used to monitor multiple Google Analytics accounts using a single and centralized view. This functionality is particularly useful if you are managing multiple Google Analytics accounts for a single or multiple clients.

An example of this functionality is shown in the following dashboard, where you can view websites with different accounts all at the same time and in the same view.

How Data Visualisation can Transform Your Business?

How to Track the Performance of Multiple Google Analytics Sources

As mentioned earlier, you can build a dashboard using Google Analytics API library that can analyze and visualize data taken from multiple GA accounts. These dashboards are effective in tracking performance metrics like conversions, clicked links, or any campaign-related performance from multiple data sources.

For example, the following “Marketing Performance” dashboard provides insights into the performance measures of different marketing channels.

Similarly, measuring your incoming traffic arising from popular social media channels like Facebook, Twitter, or YouTube can determine which platform is working best for your business model.

To connect and analyze Google Analytics data from multiple sources or accounts, you need to perform the following steps in order:

  1. Connect Google Analytics data through Google BigQuery and SQL to check for any new ViewIDs.
  2. Execute GA Data uploads to Google Cloud Storage.
  3. Export the GA data to Google BigQuery.
  4. Run the scheduling script using Cloud Scheduler or Airflow.

Let’s now discuss each of these steps in detail.

Connect Google Analytics data through Google BigQuery and SQL to check for any new ViewIDs.

As the first step, you can connect your GA data to Google BigQuery using BigQuery connectors in your GA reporting tool. This step is necessary to check for any Google Analytics ViewID that is used for data retrieval.

  1. Using any Python-based app or scripting tool, upload your GA ViewID sheet to Google BigQuery.
  2. Using the same tool, check for any new ViewID update in the Google Sheet through a custom SQL query. You can enter a custom query directly into any reporting tool with a BigQuery connection. An example of creating a custom query is shown below.
  3. Execute the SQL custom query to update all the new ViewIDs (from multiple GA data sources) in the Google Sheets.

Execute GA Data uploads to Google Cloud Storage.

The next step is aimed at fetching the GA data and uploading it to Google Cloud Storage. You need to automate this process as query time updates are dynamic in nature, thus requiring daily updates. This requirement makes it suitable to be executed on cloud platforms, as you can trigger a demand automatically as soon as the data is available (and not according to a schedule).

Apart from storing terabytes of data, Google Cloud Storage is the ideal platform for linking with Google Analytics for data storage.

  1. Using any Python scripting tool to fetch the Google Analytics data and upload it on Google Cloud storage. This can be done by writing any authentication script.

For the authentication script, you can use the Google App Engine as the backend server.

  1. When Google Sheet receives a new ViewID, the backend configuration file is automatically updated with the ViewID data retrieved for the previous 3 months.

In addition, daily data updates are automatically updated in the Google Sheet.

  1. Using any Python-based app or scripting tool, upload your GA ViewID sheet to Google BigQuery.

Export the GA data to Google BigQuery

The next step is to export the Google Analytics data to Google BigQuery. The advantage of using BigQuery is that you can implement Big data analytics tools for your website or mobile app. Another advantage is that you can implement data visualization on any platform that you wish.

To perform this step, all that you need to do is to write a Python script that can upload the GA data from Google Cloud Storage in the Google App Engine environment to BigQuery.

Run the scheduling script using Cloud Scheduler or Airflow.

The final step is to schedule all jobs to run at a specific time using either the Cloud Scheduler or Airflow. This step is aimed at performing end-to-end testing for all scheduled jobs and to validate the GA data.

Conclusion

Thanks to a combination of ease of use and extensive functionality, building a dashboard using Google Analytics Embed API can elevate your data analytics and visualization to the next level.

With its expertise in cloud-powered analytics and visualization tools, Countants has enabled its clients to arrive at a better and more informed business decision that has transformed their business.

In an evolving market environment, customized data solutions from Countants are powering a competitive edge for business enterprises in different industry domains.

Do you want to explore how your business can leverage on your Google Analytics data? Connect with us today!