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

Exporting Google Analytics data to BigQuery allows users to harness the power of SQL to perform complex queries on the dataset. By using SQL, analysts can filter, aggregate, and manipulate the data in various ways that go beyond the default reporting capabilities in Google Analytics. This enables deep insights and customized reporting tailored to specific business needs.

The ability to query data in BigQuery is particularly valuable for analyzing large datasets that might be cumbersome to handle in Google Analytics itself, making it easier to derive business intelligence and actionable insights. Using SQL opens a range of possibilities for sophisticated data analysis techniques, such as predictive analytics or machine learning integration.

While options related to editing data structure, displaying data on a dashboard, and setting up automated alerts are important features in their own right, they are not directly associated with the capabilities available immediately after exporting data to BigQuery.