![]() Dynamic Controls: One of the reasons why people love Google Data Studio is its dynamic control feature, which gives them the ability to perform slice and dice operations on the data without having to update the report setup itself.Full Customization Controls: Google Data Studio gives users the ability to add new pages, tables, charts, etc., and customize them as per business use case and data requirements.Live Data Connectors: Google Data Studio supports seamless integration with over 150+ data sources eliminating the need to schedule periodic data refreshes for your reports.The key features of Google Data Studio are as follows: Understanding the Key Features of Google Data Studio More information on Google Data Studio can be found here. Along with that, it also houses functionality to allow real-time collaboration with multiple users irrespective of their physical location. It allows users to visualize data seamlessly and turn it into informative dashboards and reports and gain valuable insights from it. ![]() Being a part of the Google Cloud Suite, it gives users the ability to easily integrate with other Google products and services such as Google Analytics, Google Sheets, Google Ads, etc, along with numerous third-party sources by either manually importing data or connecting to the data source using its API. Google Data Studio is Google’s data reporting and visualization solution and is part of the Google Marketing Platform. Introduction to Google Data Studio Image Source: Robust API: The official Airtable API allows users to connect their workflow to hundreds of third-party applications and services, or access their content programmatically.Automation: Airtable can help businesses perform their operations faster and focus on the work that matters by creating custom notifications, orchestrate work via integrations, and automate redundant tasks.Airtable Apps: Airtable gives users the ability to choose from over 50+ prebuilt applications that can help them bring their data to life and perform a vast number of operations.Numerous powerful sorting, filtering, and grouping operations can be performed on these Views that give users the freedom to arrange their work as per their preferences. Customizable Views: Airtable allows users to set up different Views based on the business use cases.Understanding the Key Features of Airtable More information on Airtable can be found here. ![]() Secondly, Airtable is a user-friendly tool, hence, it is not necessary for you to be an expert in using Spreadsheets or Relational Databases to use Airtable. Airtable also houses numerous templates that can guide you on how to use the system. The major difference between databases and Spreadsheets is that databases give users the ability to perform various complex operations that they would not have been able to perform ideally using a Spreadsheet. Firstly, with Airtable, data is stored in Relational Databases instead of Spreadsheets. Storing related data together in a single Spreadsheet can be unwieldy and would result in a large number of errors when you try to perform any operations on it.Īirtable is similar to Spreadsheets, but it comes with two major differences. For example, you cannot define relationships between tables using a Spreadsheet. The databases, in this case, could contain data required to run the day-to-day operations of any business such as inventory details, tasks, growth strategies, and ideas, etc.Īlthough it is true that you can store information about a project on an online Spreadsheet like Google Sheets and easily collaborate with others to work on that data, there are numerous limitations associated with using Spreadsheets. Table of ContentsĪirtable can be defined as an easy-to-use Cloud-based collaboration service that businesses can use to store, share, and edit Relational Databases. This article will provide you with an understanding of the easy method that can be used to set up Airtable Data Studio Integration to perform a comprehensive analysis of your Airtable data. ![]()
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