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Google Datastudio

A reporting and data visualization tool
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What is Google Datastudio?

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.
Google Datastudio is a tool in the Business Intelligence category of a tech stack.

Who uses Google Datastudio?

65 companies reportedly use Google Datastudio in their tech stacks, including Groww, Ruangguru, and SWORD Health.

131 developers on StackShare have stated that they use Google Datastudio.

Google Datastudio Integrations

MySQL, Microsoft SQL Server, Microsoft Excel, Dataddo, and dJAX DMP Manager are some of the popular tools that integrate with Google Datastudio. Here's a list of all 6 tools that integrate with Google Datastudio.
Pros of Google Datastudio
Easy to share
Google Analytics Integration
BigQuery Integration
Same UI controls as Google Docs, Sheet, etc
Shareable & editable dashboards
Decisions about Google Datastudio

Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Datastudio in their tech stack.

I recently started a new position as a data scientist at an E-commerce company. The company is founded about 4-5 years ago and is new to many data-related areas. Specifically, I'm their first data science employee. So I have to take care of both data analysis tasks as well as bringing new technologies to the company.

  1. They have used Elasticsearch (and Kibana) to have reporting dashboards on their daily purchases and users interactions on their e-commerce website.

  2. They also use the Oracle database system to keep records of their daily turnovers and lists of their current products, clients, and sellers lists.

  3. They use Data-Warehouse with cockpit 10 for generating reports on different aspects of their business including number 2 in this list.

At the moment, I grab batches of data from their system to perform predictive analytics from data science perspectives. In some cases, I use a static form of data such as monthly turnover, client values, and high-demand products, and run my predictive analysis using Python (VS code). Also, I use Google Datastudio or Google Sheets to present my findings. In other cases, I try to do time-series analysis using offline batches of data extracted from Elastic Search to do user recommendations and user personalization.

I really want to use modern data science tools such as Apache Spark, Google BigQuery, AWS, Azure, or others where they really fit. I think these tools can improve my performance as a data scientist and can provide more continuous analytics of their business interactions. But honestly, I'm not sure where each tool is needed and what part of their system should be replaced by or combined with the current state of technology to improve productivity from the above perspectives.

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Google Datastudio's Features

  • Easily access a wide variety of data. Data Studio’s built-in and partner connectors makes it possible to connect to virtually any kind of dataTurn your data into compelling stories of data visualization art. Quickly build interactive reports and dashboards with Data Studio’s web based reporting toolsShare your reports and dashboards with individuals, teams, or the world. Collaborate in real time. Embed your report on any web page

Google Datastudio Alternatives & Comparisons

What are some alternatives to Google Datastudio?
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
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Google Datastudio's Followers
171 developers follow Google Datastudio to keep up with related blogs and decisions.