What is Google Data Studio: Looker Studio?

Formerly known as Google Data Studio, Google has renamed the popular analytics and data platform from Google Data Studio to Looker Studio. According to Google the reason is “To unify their business intelligence product family under the Looker umbrella, bringing together Looker, Data Studio, and core Google technologies like artificial intelligence (AI) and machine learning (ML)“.

Earlier on March 15, 2016, Google launched Google Data Studio as part of the enterprise Google Analytics 360 suite. It was a free version of Data Studio for individuals and small teams. And now Google unified it with Looker and offering the Google business intelligence products “under the Looker umbrella.” Let’s understand the “What It Is?” and “What are its Benefits?”

In today’s data-driven world, organizations and businesses need to be able to extract valuable insights from their data to make informed business decisions. Google Looker Studio is a cloud-based business intelligence and analytics platform that enables organizations to do just that. In this blog post, we’ll explore the features and benefits of Looker Studio and how it can help organizations gain insights from their data.

What is Google Looker Studio?

Google Looker Studio is a cloud-based business intelligence and analytics platform that helps organizations gain insights from their data. Looker Studio is designed to enable users to explore, analyze, and share data from a variety of sources, such as databases, APIs, and data warehouses.

One of the key features of Looker Studio is its powerful data modeling features and capabilities. Looker uses a proprietary modeling language called LookML, which allows users to create custom dimensions and measures, build custom SQL queries, and even join data from multiple sources. This allows users to build complex data models that can be easily used for analysis and visualization.

In addition to its data modeling capabilities, Looker Studio offers a range of tools for data exploration and analysis. Users can create custom dashboards and visualizations that allow them to dive deep into their data and gain insights quickly. Looker also offers advanced analytics capabilities, such as predictive modeling and machine learning.

Benefits of Google Looker Studio:

1. Advanced Data Modeling Capabilities: Looker’s proprietary modeling language, LookML, enables users to create complex data models that can be easily used for analysis and visualization. This allows organizations to gain deeper insights into their data and make more informed business decisions.
2. Powerful Data Exploration and Analysis Tools: Looker Studio offers a range of tools for data exploration and analysis, including custom dashboards and visualizations. This enables users to quickly identify patterns and trends in their data and gain insights that may not be visible with traditional analysis tools.
3. Seamless Integration with Data Sources: Looker Studio can connect to a wide range of data sources, including databases, data warehouses, and APIs. This allows organizations to centralize their data and gain a unified view of their business.
4. Collaboration and Sharing: Looker Studio enables users to collaborate on reports and dashboards, share data visualizations, and even embed reports on external websites or applications. This enables organizations to easily share insights with stakeholders across the organization.

How companies can use Looker Studio?

Companies can use Looker Studio in a variety of ways to gain insights from their data and make informed business decisions. Here are some examples:

1. Sales and Marketing Analytics: Companies can use Looker Studio to analyze sales and marketing data, such as customer demographics, purchasing behavior, and campaign performance. This can help them identify new opportunities for growth and optimize their marketing efforts.
2. Financial Analytics: Looker Studio can also be used to analyze financial data, such as revenue, expenses, and profitability. This can help companies gain a deeper understanding of their financial performance and make more informed decisions about investments, budgets, and cost savings.
3. Supply Chain Analytics: Companies can use Looker Studio to analyze supply chain data, such as inventory levels, production schedules, and shipping times. This can help them identify bottlenecks in the supply chain and optimize their operations for greater efficiency.
4. Customer Analytics: Looker Studio can also be used to analyze customer data, such as purchase history, customer service interactions, and website behavior. This can help companies understand their customers better and provide more personalized experiences.
5. Product Analytics: Companies can use Looker Studio to analyze product data, such as sales performance, customer feedback, and product usage. This can help them identify opportunities for product improvements and make data-driven decisions about product development.

Overall, Looker Studio can be used by companies in virtually any industry to gain insights from their data and make more informed business decisions.

Conclusion:

Google Looker Studio is a powerful business intelligence and analytics platform that offers advanced data modeling capabilities, a range of tools for data exploration and analysis, and seamless integration with data sources. It is particularly well-suited for data analysts and data scientists who need to build complex data models and perform more advanced data analysis. With Looker Studio, organizations can gain valuable insights from their data and make more informed business decisions.