Google Data Studio (Looker Studio) - Detailed Review
Data Tools
Google Data Studio (Looker Studio) - Product Overview
Overview of Google Looker Studio
Google Looker Studio, formerly known as Google Data Studio, is a powerful cloud-based business intelligence platform that simplifies the process of analyzing and presenting data. Here’s a brief overview of its primary function, target audience, and key features:Primary Function
Looker Studio is designed to convert complex data sets into user-friendly, visually appealing reports. It integrates data from multiple sources into a single platform, allowing users to analyze and present their data in a clear and engaging manner.Target Audience
This tool is beneficial for a wide range of users, including data analysts, business intelligence professionals, and non-technical users such as marketers, business managers, and executives. It is particularly useful for small businesses and organizations looking to streamline their data analysis and reporting processes.Key Features
Data Integration
Looker Studio supports over 800 data sources, including Google Analytics, Google Ads, Search Console, YouTube Analytics, and third-party services like Facebook and LinkedIn Ads. This broad compatibility ensures comprehensive reporting by consolidating data from various platforms into one place.Advanced Visualization
The platform offers advanced visualization tools such as graphics, tables, charts, and more. These tools help simplify complex data sets, making it easier for stakeholders to identify trends and patterns. Customization options include text, colors, and branding elements like logos.Real-Time Analytics
Reports in Looker Studio are dynamic, automatically updating with new data from the connected sources. This real-time analytics capability allows users to respond immediately to changes in audience behavior or campaign performance.Sharing and Collaboration
The sharing features are similar to those of Google Docs and Sheets, enabling easy collaboration. Users can control access levels, allowing others to view or edit reports, ensuring both collaboration and data security.Target Group Segmentation and Analysis
Looker Studio helps in segmenting data based on demographics, behavior, and interests. This detailed breakdown enables users to customize their website content and marketing strategies for specific target groups, improving engagement and conversions.User Experience Optimization
The platform provides insights into how users interact with a website, helping identify areas that need improvement. It tracks user flow, time spent on pages, and other key metrics to optimize the user experience.Conclusion
By leveraging these features, Looker Studio makes data analysis more accessible and actionable, allowing businesses to make informed decisions and drive better outcomes. Google Data Studio (Looker Studio) - User Interface and Experience
Interface Overview
Looker Studio’s interface is divided into key sections that facilitate easy use. The homepage is segmented into main areas such as Reports, Data Sources, and Explorer. The Reports section allows users to create, edit, and manage their dashboards, while the Data Sources section is where users connect to various data sources like Google Sheets, Google Analytics, and SQL databases. This segmentation makes it clear and simple to find what you need.
Intuitive Design
The user interface features a toolbar menu that serves as the gateway to various functionalities. This menu is intuitive, allowing users to quickly access different tools and features. The initial view presents a gallery of dashboards and reports, making it easy to get started or manage existing projects.
Drag-and-Drop Functionality
Looker Studio employs a drag-and-drop interface, which simplifies the process of creating and customizing dashboards. Users can drag objects or widgets onto their dashboard and arrange them as needed, making the creation of reports swift and efficient.
Interactive Elements
One of the standout features of Looker Studio is its interactive elements. Users can interact with their reports even in Edit Mode, allowing them to test and analyze data without switching to View Mode. This includes using interactive aspects like drop-down menus, date selectors, and cross-filtering widgets, all of which enhance the overall user experience.
Version Control and Draft Mode
The platform includes Draft Mode and Report Publishing features, which enable users to work on their dashboards without making immediate changes public. This feature also includes a Version History menu, allowing users to revert to previous iterations of their dashboard, named for easy identification.
Customization and Templates
Looker Studio offers a library of report templates that make data visualization easier. These templates can be customized to fit specific needs, ensuring that the report’s view aligns with the user’s objectives. The platform also supports community visualizations and custom connectors, allowing for greater flexibility in data presentation.
Integration and Accessibility
The tool seamlessly integrates with other Google services such as BigQuery, Google Analytics, and Google Cloud, ensuring smooth data flow and analysis. This integration, combined with automatic management and migration of resources for Google Workspace or Cloud Identity users, enhances the overall ease of use.
User Experience
The user experience in Looker Studio is enhanced by its focus on simplicity, consistency, and relevance. The interface avoids clutter, maintains a uniform design language, and ensures that the data displayed is relevant to the user’s needs. Interactive charts and graphs allow users to delve deeper into specific data points, and feedback mechanisms can be incorporated for continuous improvement.
Overall, Looker Studio’s user interface is designed with the user in mind, offering an intuitive, interactive, and customizable environment that makes creating and analyzing data reports straightforward and engaging.
Google Data Studio (Looker Studio) - Key Features and Functionality
Google Data Studio Overview
Google Data Studio, now known as Looker Studio, is a powerful and free data visualization tool that offers a range of features to help users create interactive and customized dashboards. Here are the main features and how they work:
Drag-and-Drop Interface
Looker Studio features an intuitive drag-and-drop interface that makes creating reports and dashboards simple and efficient. Users can quickly assemble charts, tables, and other visuals without needing to know how to code. This interface speeds up the report creation process, allowing users to focus more on the data itself rather than the technical aspects.
Data Connectors
The platform includes numerous data connectors that enable users to integrate data from various sources such as Google Analytics, Google Sheets, BigQuery, and other platforms. These connectors allow users to link different data sets, creating comprehensive reports that reflect overall business performance.
Customization Options
Looker Studio offers extensive customization options to align reports with the user’s specific needs and branding. Users can adjust colors, fonts, and layouts to match their organization’s identity. The platform also includes various chart types and formatting tools to make reports visually appealing and informative.
Dynamic Controls
One of the key features of Looker Studio is the ability to insert dynamic controls. These controls allow viewers to filter through the content using different dimensions, date range selectors, and filters. This feature enables users to show exactly what they want, making the reports highly interactive and flexible.
Advanced Formulas and Data Transformation
Looker Studio allows users to transform raw data into more meaningful information using advanced formulas and the Explorer feature. Users can add dimensions, apply mathematical functions, and use custom formulas to convert data into useful values. The Explorer acts like a notepad for private data analysis, enabling users to perform free experiments before creating collaborative reports.
Integration, Visualization, and Data Sharing
The tool is organized into four main feature blocks: integration, transformation, visualization, and data sharing. It collects data from different platforms, transforms it into meaningful information, visualizes it through graphs and tables, and allows for easy sharing with other users. This structured approach ensures that users can create dashboards that meet their specific goals.
AI Integration
While the current features of Looker Studio do not explicitly highlight direct AI integration within the tool itself, Google’s broader vision for business intelligence involves integrating AI capabilities. For instance, the roadmap for Looker (the broader platform that Looker Studio is part of) includes plans to incorporate generative AI capabilities, enabling users to interact with their business data in more intuitive ways, such as through conversational interfaces. However, these AI-driven features are more aligned with the broader Looker platform rather than being specifically integrated into Looker Studio at this time.
Conclusion
In summary, Looker Studio is a versatile tool that simplifies data visualization and reporting through its user-friendly interface, extensive customization options, and powerful data transformation capabilities. While AI integration is a part of the broader Looker roadmap, it is not yet a core feature within Looker Studio itself.
Google Data Studio (Looker Studio) - Performance and Accuracy
Performance Issues
Looker Studio can be slow, particularly when handling large datasets or complex queries. Here are some reasons why:Query Handling Limit
Looker Studio has a 6-minute limit on handling queries, which can cause large data requests to slow down or time out reports.Data Volume and Complexity
The more data Looker Studio needs to handle, especially from complex data structures or multiple sources, the slower the performance. This includes issues with data source performance, connectivity, and the parsing of intricate schemas or nested structures.Live Connection and Data Refresh
While Looker Studio offers a live connection to data sources, it often lags in practice. Users have reported extended lag times in refreshing data, and real-time updates are not automated, requiring manual refreshes or workarounds like scheduled extractions.Data Accuracy and Reliability
Ensuring the accuracy and reliability of data in Looker Studio can be challenging:Data Blending Limitations
Blending data from multiple sources is restricted to five data sources at a time, and all sources must share a joining key. This can lead to frequent report crashes and limitations in aggregating, evaluating, and comparing campaigns.Data Inconsistencies
Users need to be cautious about potential data inconsistencies when blending data. Ensuring data accuracy requires careful handling and verification of the data being merged.Data Caching
While data caching improves performance for subsequent report views, the initial data fetch for a new report can take time, especially for large datasets. This balance between data freshness and speed can be tricky to manage.Additional Limitations
Other significant limitations include:Real-Time Updates
Looker Studio does not offer automated real-time dashboard updates. Data is often cached, and users must manually refresh or update data, which can be time-consuming and inefficient.Advanced Data Manipulation
The platform lacks advanced calculation and transformation capabilities, restricting the options available for marketing agencies and data analysts.Connector Limitations
While Looker Studio can connect to many tools, the free version is limited to Google products. Connecting to other popular marketing tools may require additional costs for connectors.Best Practices for Improvement
To improve the performance of Looker Studio, several best practices can be adopted:Optimize Data Source Queries
Ensure queries are efficient and well-structured to avoid unnecessary complexity. Use data sampling for large datasets and aggregate data at the source where possible.Use Processed Data
Using a data source that contains pre-processed data can speed up dashboard performance instead of processing data within Looker Studio.Efficient Data Retrieval
Avoid complex queries with multiple joins, filters, or aggregations. Optimize the underlying data sources for better performance. By understanding these limitations and implementing best practices, users can mitigate some of the performance and accuracy issues associated with Looker Studio, making it a more effective tool for data visualization and reporting. Google Data Studio (Looker Studio) - Pricing and Plans
The Pricing Structure of Looker Studio
The pricing structure of Google Data Studio, now known as Looker Studio, is structured in a way that caters to different user needs, from free options to paid plans with advanced features.
Free Option
Looker Studio is free to use if you are importing data from Google platforms such as Google Analytics, Google Sheets, BigQuery, Google Ads, and other Google services. This free version includes 24 free connectors for Google products, allowing you to create reports and dashboards without any costs.
Paid Connectors
If you need to import data from third-party sources like Instagram ads, Facebook ads, WooCommerce KPIs, or Bing, you will need to purchase paid connectors. The cost of these connectors varies, ranging from $20 to $350 per month, depending on the connector you choose.
Looker Studio Pro
For more advanced features and enterprise-level use, Looker Studio offers a paid version called Looker Studio Pro.
Features of Looker Studio Pro
- Team Workspaces: Collaborative hubs for team members to oversee access and distribute content.
- Automated Report Delivery: Schedule up to 20 delivery schedules per report and distribute reports through Google Chat.
- Content Management with Permissions: Link your content to a Google Cloud project for organizational ownership and set project-level permissions using IAM.
- Personal Report Links: Share personalized report links for accessible data exploration.
- Mobile App: Access and interact with data on the go.
- Google Cloud Customer Care: Scalable and adaptable support services.
Pricing for Looker Studio Pro
The pricing starts at $9 per user per project per month. This cost includes both the platform pricing and user licensing fees.
User Licensing
There are three types of user licenses:
- Developer User: Full access to all Looker interfaces, including administration, development mode, and support.
- Standard User: Access to folders, boards, dashboards, and reports, but not to development mode, administration, or support.
- Viewer User: Limited access to view folders, boards, dashboards, and reports, with no creation or administrative rights.
Platform Pricing Tiers
Looker Studio Pro offers several platform pricing tiers:
- Standard Edition: Suitable for small organizations with fewer than 50 users, including 1 production instance, 10 Standard Users, and 2 Developer Users.
- Enterprise Edition: Enhanced security features for larger organizations, including 1 production instance and up to 100,000 query-based API calls per month.
- Embed Edition: For deploying and maintaining external analytics and custom applications at scale, including 1 production instance and up to 500,000 query-based API calls per month.
Each tier has different limits on API calls and user access, and the costs can be determined through a pay-as-you-go model or annual commitments negotiated with the Google sales team.
Google Data Studio (Looker Studio) - Integration and Compatibility
Google Data Studio Overview
Looker Studio, formerly known as Google Data Studio, is a versatile and powerful tool for data analysis and visualization, and it integrates seamlessly with a variety of other data tools and platforms.
Integrations with Other Data Tools
Looker Studio offers native integrations with several popular data tools, making it easy to connect and analyze data from multiple sources. Here are some of the key integrations:
- Google BigQuery: Looker Studio has a native integration with Google BigQuery, allowing you to connect to your BigQuery data and leverage Looker Studio’s visualization and analysis capabilities.
- Amazon Redshift: You can also integrate Looker Studio with Amazon Redshift, enabling you to analyze your Redshift data within the platform.
- Salesforce: For managing sales and customer data, Looker Studio integrates with Salesforce, allowing you to create custom reports and visualizations.
- MySQL: Integrations with MySQL databases are also supported, enabling you to connect to your MySQL data and analyze it within Looker Studio.
- Microsoft Excel: You can import data from Microsoft Excel into Looker Studio to create custom reports and visualizations.
- Google Analytics and Google Ads: Looker Studio supports integrations with Google Analytics and Google Ads, among other Google services, making it ideal for those using Google’s ecosystem.
Additional Connectors
Apart from these native integrations, Looker Studio also supports a wide range of free and paid connectors. For example, you can connect to data sources like Google Sheets, Cloud SQL for MySQL, PostgreSQL, and many more. There are also paid connectors available for tools like SEMRush, Ahrefs, and BigCommerce.
Integration Process
Integrating Looker Studio with other data tools is relatively straightforward. Here’s a general outline:
- Choose the data tool you want to integrate.
- Ensure Looker Studio has a native integration with the chosen tool. If not, you might need a third-party integration tool.
- Connect to your data tool from within Looker Studio using its user-friendly interface.
- Once connected, you can start analyzing your data and creating visualizations within Looker Studio.
Compatibility Across Platforms and Devices
Looker Studio is compatible with several browsers and devices:
- Supported Browsers: Looker Studio is fully supported on Chrome, Firefox, Edge, and Safari. These browsers are classified as Level 1 browsers, meaning they support the current and previous major releases.
- Device Compatibility: You can access and view reports on any device with a browser and an internet connection. However, creating and editing reports requires a Google account and is best done on the supported browsers.
Geographic and Language Support
Looker Studio is available in most countries, with a few exceptions such as the People’s Republic of China (where you can only view reports), Iran, Iraq, Crimea, North Korea, Syria, and Cuba. It supports 37 languages and handles various number, date, and time formats, as well as 59 international currencies.
Governance and Security
The integration between Looker Studio and other tools, such as Looker, ensures strong governance and security. For example, the integration with Looker allows users to access governed data while maintaining Looker’s security features and centralized data access management.
Conclusion
In summary, Looker Studio is highly versatile and integrates well with a wide range of data tools, making it a powerful option for comprehensive data analysis and visualization across various platforms and devices.
Google Data Studio (Looker Studio) - Customer Support and Resources
Customer Support Options for Google Looker Studio
Contacting Support
Looker Studio does not offer a dedicated customer support team. Instead, you can contact the developers through an email address, but there is no guarantee of a response. Many users have reported not receiving a reply, even after several days.Community Support Forum
One of the most effective ways to get help is through the Looker Studio Community Support Forum. Here, you can search for questions similar to yours and find solutions provided by other users. While this can be helpful, only about every 10th question is actually answered. To increase your chances of getting a useful response, be specific and detailed with your question, and include screenshots and valuable information.Google Issue Tracker
You can also use the Google Issue Tracker to report problems or request new features. This platform allows you to submit and vote on feature requests, helping the Looker Studio team prioritize what to build next.Help Center and Documentation
Looker Studio provides a comprehensive Help Center with detailed guides and documentation. This resource can help you get started, add data sources, and customize your reports. For example, you can find instructions on how to add additional data sources and configure your reports.Paid Technical Support
For users of Looker Studio Pro, paid technical support is available through Cloud Customer Care. This requires a Standard Support plan, which allows you to open support cases through the Google Cloud Support Console. This support is not included in other premium Google Cloud services and is specific to Looker Studio Pro subscriptions.Community Engagement
The Looker Studio Community on Google Cloud is another valuable resource where you can report problems, ask questions, and engage with product experts and other users. Additionally, you can join the Cloud BI Customer Council to provide feedback and influence the future of Looker Studio by interacting with user research teams, engineers, and product managers.Service Level Agreements (SLAs)
For Looker Support, English language support is available 24 hours a day, 5 days a week, while Japanese language support has specific hours. Support coverage is subject to major holidays observed in the US, the UK, and Japan. These resources can help you address issues and optimize your use of Looker Studio, although the free support options may require more effort and patience. Google Data Studio (Looker Studio) - Pros and Cons
Google Looker Studio Overview
Google Looker Studio (formerly Google Data Studio) is a powerful tool for data visualization, but it comes with both significant advantages and some notable disadvantages.
Advantages
Ease of Use and Usability
Looker Studio is known for its user-friendly interface, making it relatively easy to create reports and dashboards, even for those without extensive data analysis experience.
Integration with Google Services
It seamlessly integrates with other Google services such as Google Drive, Google Sheets, and Google Ads, which is beneficial for users already within the Google ecosystem.
Customizable Dashboards
Users can create meaningful, shareable, and customizable charts and graphs with just a few clicks. The platform supports various types of data visualizations, including tables, scorecards, time series, and bar charts.
Wide Range of Data Connectors
Looker Studio allows connections to over 800 data sources, enabling users to synchronize their data from multiple platforms.
Free to Use
One of the significant advantages is that Looker Studio is free, making it accessible to a wide range of users.
Disadvantages
Learning Curve
While the interface is user-friendly, creating complex reports or implementing advanced functionalities can still require a learning curve, especially for new users.
Limited Customization Options
Compared to other data visualization tools like Tableau, Looker Studio offers limited customization options, particularly in terms of design and layout.
Data Source Limitations
There are limitations regarding specialized data sources, and users may face challenges integrating data from specific databases or applications not supported by third-party connectors.
Performance Issues
Handling large datasets can result in slower performance, including slower response times and inefficiency in processing and visualizing data.
No Real-Time Updates
Despite live connections to data sources, Looker Studio does not have a built-in solution for real-time updates, requiring manual refreshes or additional workarounds.
Limited Export Options
The export options are relatively limited, with users often needing to rely on workarounds or additional tools to export reports in formats other than PDF.
Data Accuracy and Reliability
Ensuring the accuracy and reliability of blended data can be challenging, requiring extra caution to avoid potential data inconsistencies.
Limited Data Manipulation
The platform has limited capabilities for advanced data manipulation and transformation, which can restrict the options available for data analysis.
Conclusion
Overall, Google Looker Studio is a valuable tool for data visualization, especially for those already using Google services, but it does come with some limitations that users need to be aware of.
Google Data Studio (Looker Studio) - Comparison with Competitors
Looker Studio
- Looker Studio is a free tool that requires only a Google account to use. It is designed for basic business intelligence needs, offering collaborative dashboards and visualizations.
- It lacks advanced analytics capabilities such as predictions and forecasts, making it less suitable for advanced use cases.
- Looker Studio integrates well with other Google tools and provides real-time data updates, but it does not support machine learning models or advanced data modeling like its counterpart, Looker.
Alternatives and Competitors
Tableau
- Tableau is a feature-rich platform known for its advanced visualizations and intuitive drag-and-drop interface. It leverages AI through Tableau GPT and Tableau Pulse to enhance data analysis and governance. Tableau is highly customizable but can have a high learning curve for advanced features and may be expensive for small teams.
- Unlike Looker Studio, Tableau supports a wide range of data sources and offers strong community and resource support, making it highly versatile for various use cases.
Looker
- Looker is an enterprise-grade tool that offers advanced data models and machine learning capabilities. It uses LookML to describe aggregates, dimensions, and data relationships, and it supports various machine learning models for regression, classification, and forecasting. However, it is significantly more expensive than Looker Studio, with a price tag of around $3000 to $5000 for ten users.
- Looker is more suited for advanced analytics and can serve as a centralized source of truth for enterprises, unlike Looker Studio which is better for basic BI needs.
Domo
- Domo is an all-in-one cloud-based business intelligence tool that combines data connection, transformation, and visualization. It offers real-time data integration and transformation, an extensive library of visualizations, and customizable alerts and reporting. Domo has a user-friendly interface but can have a high learning curve for beginners and may be expensive for small teams.
- Unlike Looker Studio, Domo provides more comprehensive analytics and integration capabilities, making it a stronger option for enterprises needing real-time insights.
Qlik
- Qlik is known for its associative data model that allows for flexible data exploration. It offers powerful machine learning capabilities and real-time data updates, along with strong collaboration tools. However, Qlik has a higher cost and a steeper learning curve compared to some competitors.
- Qlik’s associative data engine is more advanced than Looker Studio’s capabilities, making it better suited for detailed, multi-dimensional analysis.
Power BI
- Power BI by Microsoft is a versatile data visualization tool that integrates seamlessly within the Microsoft ecosystem. It offers real-time analytics, data transformation, and interactive dashboards with AI-driven insights. Power BI has a more affordable pricing structure, including a free tier, and is well-suited for large teams with diverse data needs.
- Unlike Looker Studio, Power BI has stronger integration with Microsoft tools and a more accessible pricing model, but it has limited customizability in visualization design.
Other Alternatives
- Tools like Databox, Geckoboard, and DashThis offer different strengths such as wide integration with various data sources, Slack integrations, and easy-to-use interfaces. These tools are often more focused on specific business needs like digital marketing, accounting, and customer support metrics.
- AnswerRocket is another option that uses natural language querying to provide quick insights and report generation, making it suitable for business users without technical expertise. However, it lacks the advanced features of more established tools like Tableau and Domo.
In summary, while Looker Studio is a free and user-friendly tool for basic BI needs, it lacks the advanced analytics and machine learning capabilities offered by its competitors. Depending on your specific requirements, tools like Tableau, Looker, Domo, Qlik, and Power BI may offer more comprehensive solutions for data visualization and analysis.
Google Data Studio (Looker Studio) - Frequently Asked Questions
1. What is Google Looker Studio and what can it do?
Google Looker Studio is a no-cost tool that helps you turn your data into informative, easy-to-read, and fully customizable dashboards and reports. It allows you to visualize your data using various charts, tables, and other visualizations, connect to multiple data sources, and share your insights with others. You can also make your reports interactive with filters and date range controls, and collaborate on reports in real time.
2. How do I connect my data to Looker Studio?
To connect your data to Looker Studio, you need to create a data source by linking it to an underlying dataset such as a database, spreadsheet, or Google Analytics account. Looker Studio supports connections to various data sources, including BigQuery, MySQL, PostgreSQL, Google Marketing Platform products, Google consumer products like Sheets and YouTube, and social media platforms. You can also use flat files via CSV file upload and Google Cloud Storage.
3. What types of data visualizations are available in Looker Studio?
Looker Studio offers a variety of data visualizations, including charts (line, bar, pie charts, geo maps, area and bubble graphs), tables (paginated data tables, pivot tables), scorecards for key performance indicators (KPIs), and time series charts. You can also include links, clickable images, and annotate your reports with text and images. Additionally, you can apply styles and color themes to enhance your visualizations.
4. How can I make my reports interactive in Looker Studio?
You can make your reports interactive by adding controls such as date range controls, dropdown lists, fixed lists, input boxes, advanced filters, sliders, and checkboxes. These controls allow viewers to filter or refine the data in real time, making the reports more dynamic and useful for analysis.
5. Can I collaborate with others on reports in Looker Studio?
Yes, collaboration is a key feature of Looker Studio. You can share your reports with individuals, teams, or the public, and invite others to view or edit your reports. Real-time collaboration is supported, allowing multiple users to work on a report simultaneously. You can also embed your reports in other pages like Google Sites, blog posts, or annual reports.
6. How do I share reports in Looker Studio?
To share reports in Looker Studio, you can invite others via email or share a link to the report. You can control who can view or edit the report by setting permissions such as “Can View” or “Can Edit.” Additionally, you can use data credentials to determine who can see the data, ensuring that sensitive information is protected.
7. What are the enterprise features of Looker Studio?
Looker Studio offers enterprise features that allow Cloud Identity and Google Workspace administrators to manage users and control access to Looker Studio assets. This includes role-based access controls to protect sensitive data and ensure different levels of access based on user roles. You can also upgrade to Looker Studio Pro for additional enterprise-grade collaboration and administration features.
8. Can I use pre-built templates in Looker Studio?
Yes, Looker Studio provides pre-built templates that you can use as starting points for your reports. These templates make it easy to visualize your data quickly and can be customized to fit your specific needs. Templates are available for various use cases, such as PPC multi-channel dashboards and Facebook Ads dashboards.
9. How do I add visualizations to my report in Looker Studio?
To add visualizations to your report, you can use the drag-and-drop report editor. Simply click on ‘Add a chart’ and select the type of visualization you want to add, such as a scorecard, time series chart, or bar chart. You can then configure the settings for the visualization, including metrics, date ranges, and other options.
10. Can I blend data from different sources in Looker Studio?
Yes, you can blend data from different sources in Looker Studio. This involves joining fields from different data sources or multiple instances of the same data source to create a single, unified data source for your visualizations. You can also create calculated fields and adjust the aggregation methods to enhance your data.