Cruces de datos y queries

How to efficiently cross-reference data in Google Data Studio?

The ability to cross-reference data from different sources can transform your dashboard into a powerful analysis tool. Connecting sources and merging them correctly allows you to extract more robust information and provide valuable insights for management or decision making. Here's how to do it efficiently in Google Data Studio.

How to combine data sources like Google Ads and Google Analytics?

To get the most out of your data, combining Google Ads with Google Analytics is an excellent option. This process gives you a complete view of user and customer acquisition. By following these steps you will be able to achieve it:

1. Connect your data sources: Make sure you have access to both platforms. You will need the credentials to link them in Data Studio.

2. Create a Data Blend:

   • Select Google Ads and Google Analytics as your sources.
   • Find the key metrics for your analysis, such as campaign costs and total users.

3. Set up the desired formula:

   • Use a formula to calculate ratios such as WACC (User Acquisition Cost).
   • Enter the formula sum(users)/sum(cost campaigns) for WAC and verify that the execution is correct before adding it to the dashboard.

This method not only visualizes the cost of user acquisition through campaigns, but also facilitates comparison between different channels and strategies.

How to integrate information from external databases?

Integrating an external database such as MySQL to Google Data Studio allows you to enrich your analysis with more detailed and personalized data. Here's how you can do it:

1. Set up the connection to your database:

   • Provide details of the host, port, database and username.
   • Verify that you have the necessary permissions to access the database.

2. Define a relevant query:

   • Extract key data such as company name, country, currency, and email verification.
   • Use conditions to filter and organize the information, for example, classifying users as verified or unverified based on their email address.

3. Add custom filters in Data Studio:

   • Once the query is integrated, use the fields to create specific filters. For example, a filter that shows only users whose email has been verified.

This approach provides flexibility by being able to perform a more detailed and segmented analysis based on specific criteria.

What technical considerations should be taken into account when creating queries?

Creating effective queries is crucial to get the right information and optimize data usage. Here are some tips and tricks to achieve this:

• Understand the structure of your database: Make sure how the data is organized and how it is interrelated.
• Use appropriate conditions: To obtain accurate information, such as differentiating users based on whether they have verified an email, use Boolean expressions.
• Optimize your query: Check that queries are efficient, especially in large databases, to avoid unnecessary load.

The correct queries management allows you to extract the maximum value from your databases and improve decision making based on accurate and well organized data.

By applying these tips, you will significantly improve the quality of the insights obtained from your Data Studio dashboards. In addition, you will be able to optimize both internal processes and interaction with your customers, driving the growth of your data analysis projects.