Data Studio

Content:

  • Introduction
  • Overview
  • Demo
  • Conclusion

Data Studio

Introduction

Having data is one thing.

 

Accessing it is another thing.

 

Understanding and analyzing it is yet another thing.

 

And visualizing it? That’s a level that most people rarely achieved.

4 levels of DATA mastery

Challenge of visualizing data

  • Tons of data
  • Table with numbers

What do you get as a result of analysis?

How businesses manage data?

It is sometimes very tedious, complex and difficult to manage.

They need a tool to manage data.

A lot of tools to visualize data...

Data Studio

Overview

Data Studio: Overview

  • Introduced by Google on 2016.
  • Powerful integration with different Data Sources.
  • Cloud based data visualization platform.
  • Lots of charts and components.
  • User friendly interface.
  • Dynamically updated if the data changes.
  • Ability to add Collaborator.
  • Sharing made easy.

 

The most important part is...

  • It's FREE.

Data Studio: How it works?

Connect to your data

Visualize with informative reports

Share anywhere

Range of available connectors

Data Studio currently supports 500+ data sources.

The most popular data sources:

and more...

  • Google Marketing Platform products, including Google Ads, Analytics, Display & Video 360, Search Ads 360
  • Google consumer products, such as Sheets, YouTube, and Search Console
  • Databases, including BigQuery, MySQL, and PostgreSQL
  • Flat files via CSV file upload and Google Cloud Storage
  • Social media platforms such as Facebook, Reddit, and Twitter

Examples of reports

Data Studio

DEMO

datastudio.google.com

Data Studio

Conclusion

Data Studio: Limitation

  • No support for Excel.
    • Google prefer Google based services only. Eg. Sheets
  • Data blending only use 'Left Outer Join'.
    • Left outer joins work by blending data by taking all the records from the left data source and combining them with the matching records from the right data source.
  • No on-premise deployment.
    • A let down for companies with strict data security requirements who are looking for accessing data within their internal network.

 

Data Studio: When to use?

  • Dependent on Google app ecosystem and your architecture is based on Google services.
  • Make reports that require very little to no data cleaning.
  • Does not have analysts expert enough to take advantage of additional functions like in Tableau.
  • Data compliance requirements are not broken when data is used outside your internal network.

 

Data Studio: Conclusion

Data Studio provides more than enough flexibility and power to create beautiful live dashboards and reports that communicate relevant and meaningful insights.

 

 

 

Learn to see from different perspectives. Never limit yourself to just one point of view.

Thank you

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