Dashboard visualization: Bring Data to Life (2) - Google Data Studio

This is the fifth post in a series of blog posts on "Data Talk to me" series and 2 (of 4) on the specific topic of visualization included with the title "Know-How Free Dashboard

This is the second case study we present to use Digital Marketing Agencies Southampton  the dashboard in real business situations. Our last post includes case studies dedicated to building a dashboard for retailers who want to understand the performance of SEO and how to fix it. In this post we will: First, look at the picture of a road map to build a dashboard; and then we'll dive a little deeper into the first of a visualization tool than in the last post: Google Data Studio.

The road-map for the development of dashboard

The beauty of building a dashboard insight requires a series of measures to ensure good documentation and implementation. This process is very important to be efficient and avoid over-charge and delays in launching.

The 1st step in the manufacture of a dashboard report is to determine the purpose of the dashboard, which will become stakeholders and other relevant information (including Software tools: See the post last week on a tool that is different). It is usually formalized in short form

2-Step consists of planning and sketches from which the data you want to use. Also, you should have an idea in mind of how you want the elements to be displayed.

Step 3 connect to data sources and create new reports

Read Also:- Why you should add a newsletter in your marketing strategy?



The final step consists of Maintenance & Updates content and data on the dashboard. This stage involves the introduction of changes based on the needs of the client, always keeping up-to-date with new opportunities to provide more in-depth analysis. This step also includes producing documentation to keep records of everything regarding the dash.

As mentioned in the last post we introduced the Dashboard, Analytics and Research Data team has experience working with different visualization tools. The decision to choose one or the other is closely related to the needs of your business or project. Together with the feature comparison table of our last post, the figure below provides a simple diagram of the roadmap in choosing the tool that is most suitable for you. Now let's discuss the first steps in the chart.

graph visualization tool

Google Data Studio: a tool that Google

Google launched in 2016 a free tool to simplify the data connection and build interactive dashboards and easily-shareable: Google Data Studio. It is still in beta mode, such as continuous updates being collected. As with other visualization tool, it has its advantages and disadvantages, which we will discuss in more detail shortly.

Data Studio was born to make the data available to everyone in the entire organization. This makes the data insights relevant to the different areas of responsibility. In addition, Data Studio is built with a purpose in mind into a collaborative tool. It allows to edit together in real time reports.

There are various sources of data you can import data from. It ranges from Google Analytics into Google's Big Query, including the different SQL platforms and other Google tools (Attribution 360, AdWords, etc.). As you can see, most likely. Our experience using Big Query produce excellent results. It acts as an online data warehouse that stores all the Digital Marketing Company Southampton  data combined from different sources at home and safe way.

After you review the different variables from the data source, it's time to start putting these sketches into the dashboard. Data Studio offers a variety of graphs and summarizes elements such as scorecards (ie a summary variable).

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