Until recently, it was difficult to automate complicated data pipelines using Google Analytics 4. That has changed with Dataform, a component of the Google Cloud Platform that allows automating data pipelines.
Traditionally, obtaining user data for analysis was a complex and time-consuming task. However, Google has simplified this process with the introduction of User Data Export in BigQuery. This feature allows organizations to access valuable data, including audience insights, predictive metrics, and user activity timestamps.
BigQuery is a potent tool that can be used for many reasons. In this article, we will describe the main benefits of considering BigQuery as the heart of your data analytics platform.
Although GA4 and UA are both web analytics tools used primarily for tracking website and app activity, BigQuery is mainly used for storing and analyzing large amounts of data.
Platform unification in Google Tag Manager (GTM) refers to the ability to manage tags across multiple platforms, such as web, mobile, and AMP (Accelerated Mobile Pages), from a single container. It simplifies tracking user behavior and allows for more efficient tag management across multiple platforms with platform unification in GTM.
Much has been written about the pros and cons of Google Analytics 4. However, in this article, we’ll take a look at one of the key features that only 360 accounts can enjoy in Google Analytics Universal. That feature is the export to BigQuery.