What can you do with Google Analytics data after exporting it to BigQuery?

Exporting Google Analytics data to BigQuery enables users to leverage the power of SQL for querying their data. This capability allows for more complex and customized analyses that go beyond the standard reporting features found in Google Analytics. By utilizing SQL, users can perform advanced data manipulation, aggregation, and filtering, which can lead to deeper insights and more tailored reporting specific to their business requirements.

The power of BigQuery lies in its ability to handle large datasets efficiently, enabling users to run sophisticated queries that may involve joining different data sources or performing calculations on vast amounts of data without the limitations often found in standard data interfaces. This level of data interrogation is particularly beneficial for organizations with extensive and complex datasets, providing a means to uncover trends, segments, and other key insights that inform decision-making.

While visualizing data with charts, manipulating data using spreadsheets, and analyzing data directly within Google Analytics can also be valuable strategies, they do not utilize the unique capabilities offered by BigQuery, especially in terms of handling and querying large datasets through SQL.