The most recent version of Google Analytics, known as Google Analytics 4 (GA4), provides cutting-edge features and capabilities for monitoring website and app activity. Integration with Google BigQuery, a cloud-based data warehousing and analytics tool, is one of the most important upgrades in GA4. The advantages of connecting Google Analytics 4 and BigQuery, as well as the merits of doing so, will all be covered in this post.

Google BigQuery's advantages

A serverless, incredibly scalable, and reasonably priced data warehousing and analytics service called Google BigQuery enables you to store and do real-time analysis on massive amounts of data. 

The following are a few of the main advantages of using Google BigQuery:

Capabilities for Advanced Data Manipulation

Advanced data manipulation features offered by Google BigQuery make it simple to carry out difficult queries, transformations, and joins on huge datasets. You may combine your data with other applications and services and derive insights from it using syntax similar to SQL.

Cost-Effectiveness 

You only pay for the amount of data you store and handle using Google BigQuery's pay-as-you-go pricing model. Due to the lack of need for costly hardware or software licenses, it is a cost-effective solution for enterprises of all sizes.

100% Unsampled GA4 Data Access

Compared to earlier Google Analytics versions, Google Analytics 4 collects data in a new way. GA4 now gathers events and parameters rather than sessions and hits, which is one of the biggest changes. As a result, GA4 data is far more detailed, but it also means that GA4 data is never sampled. You can access 100% unsampled GA4 data when you combine GA4 with BigQuery, enabling more accurate data analysis and better decision-making.

No limitations on reporting

The versatile reporting structure offered by Google Analytics 4 enables you to design unique reports and dashboards in accordance with your company's requirements. BigQuery integration for GA4 enables the creation of even more intricate and personalized reports that are not constrained by the default GA4 interface.

Scalability

A highly scalable solution that can manage huge quantities of data and queries is Google BigQuery. You don't have to be concerned about the performance or availability of your data when you start with a small dataset and scale it up as your organization expands.

Effortless Use

Cloud-based Google BigQuery requires no installation of additional hardware or software. BigQuery may be set up and used right away without any specialized knowledge or training.

Integration of BigQuery and Google Analytics 4 is necessary

Businesses looking to better examine the data from their websites and mobile applications can gain from the integration of Google Analytics 4 and BigQuery in a number of ways. The following are some of the main justifications for thinking about combining GA4 with BigQuery:

Extended Analysis

Advanced analysis tools like machine learning-based insights, predictive analytics, and cross-device monitoring are available in Google Analytics 4. You can take advantage of these features by integrating GA4 with BigQuery to learn more about your data and forecast your company's performance more precisely.

Individualization

According to your company's requirements, Google Analytics 4 lets you define unique events, parameters, and audiences. This tweak can be used to make more specialized and customized reports that are catered to your company's objectives when GA4 and BigQuery are integrated.

Data Management

Strong data governance capabilities from Google BigQuery let you manage user access to your data, keep an eye on how it's being used, and preserve its integrity. Your data will be accurate, secure, and compliant when GA4 and BigQuery are integrated.

Benefits of using BigQuery with Google Analytics 4

Businesses looking to acquire a competitive edge in their sector can benefit from integrating Google Analytics 4 with BigQuery. The following are some major benefits of integrating GA4 with BigQuery:

More Precise Data

You can access 100% unsampled GA4 data when you combine GA4 with BigQuery, enabling more precise analysis of data and better decision-making. Additionally, you may clean and alter your data using BigQuery's sophisticated data manipulation tools to make sure it is accurate and consistent.

Quicker Insights

You may instantly examine enormous amounts of data using Google BigQuery, a highly scalable and quick data warehousing tool. You can respond rapidly to changes in your business environment when you connect GA4 with BigQuery since you can instantly gain insights into your website and app activities.

Adaptable Reports

The versatile reporting structure offered by Google Analytics 4 enables you to design unique reports and dashboards in accordance with your company's requirements. BigQuery integration for GA4 enables the creation of even more intricate and personalized reports that are not constrained by the default GA4 interface. The visualization tools in BigQuery can also be used to produce interactive, entertaining reports that are simple to share.

Cost-Effective

Pay-as-you-go pricing options are available for Google BigQuery, letting you only pay for the data you actually keep and use. As a result, it is a cost-effective solution for companies of all sizes because you don't need to buy either hardware or software licensing. To calculate your prices and maximize your spending, you can also utilize BigQuery's pricing calculator.

Conclusion

Businesses looking to examine their website and app data more effectively have access to a number of advantages and benefits thanks to the integration of Google Analytics 4 and BigQuery. Businesses may obtain deeper insights into their data and make better decisions by utilizing BigQuery's sophisticated data manipulation capabilities, cost-effectiveness, and scalability. Consider combining GA4 with BigQuery and beginning to fully utilize your data if you want to stay ahead of the competition and propel the expansion of your company.