

#Bigquery geodist install
#13 You don’t need to install or set up anything to use BigQuery. #12 BigQuery is easy to learn and use, though it may look scary if you have never used it before. #11 You can store a massive amount of data in BigQuery for relatively low prices. Since BigQuery can execute SQL statements very fast, it can be used for real-time analytics. #10 BigQuery allows you to query even terabytes of data within seconds. Thus you can save a lot of time in data retrieval.

#9 When you use BigQuery, you can easily store and re-run queries. You can easily integrate BigQuery with data visualization tools like Google Data Studio to visualize GA4 data. #8 Integration with data visualization tools When you use the GA4 user interface to query data, you can not easily filter out incorrect data, and you cannot modify incorrect data.ĭata, once skewed, is skewed for good in the GA4 user interface. #7 Easily filter out or modify incorrect GA4 dataīigQuery lets you easily filter out or modify incorrect GA4 data from your analysis and reports. So if you want to calculate conversions based on historical data, then it is not possible.īut BigQuery has no such limitations. The conversions and filter data are collected and reported only from when you first set up your tracking. When you use the GA4 user interface, the conversions and filters do not work retroactively. #6 You can work retroactively on GA4 data You can access 100% unsampled GA4 data via BigQuery even if you are not a GA4 360 customer. This is something which is not possible when you use the GA4 user interface. You can access all raw events from your GA4 property in BigQuery. #4 You get access to the raw GA4 event data Thus the use of BigQuery helps fix data integration issues and enables robust cross-device and cross-platform data analysis and reporting. Since BigQuery is a data warehouse, it is an excellent tool for combining data from several data sources (like Google Analytics, Google Ads, Facebook Ads, etc.) for the purpose of advanced reporting and analysis. #3 BigQuery is an excellent tool for fixing data integration issues and cross-platform data analysis There are companies/analysts out there who use BigQuery a lot more than the GA4 user interfaces for querying analytics data. It removes most of the limitations which come when you use the GA4 user interface or API for querying analytics data. This is one of the biggest advantages of using BigQuery.īigQuery makes advanced data segmentation and analysis possible. Through BigQuery, you can manipulate GA4 data in a way that is many times simply not possible by using the GA4 user interface.Ĭertain dimensions and metrics combinations cannot be used/queried together whether you use the GA4 user interface or GA4 API.īigQuery has no such limitations. #2 BigQuery makes advanced data manipulation possible In the case of GA3 (unless you are using GA 360), you would need to use a third-party tool (often a paid subscription) to connect your GA3 property to your BigQuery project. Integration with data visualization tools.Easily filter out or modify incorrect GA4 data.You get access to the raw GA4 event data.BigQuery is an excellent tool for fixing data integration issues and cross-platform data analysis.BigQuery makes advanced data manipulation possible.
#Bigquery geodist free
GA4 provides a free connection to BigQuery.What are the advantages of using BigQuery for GA4 (Google Analytics 4)?įollowing are the key advantages of using BigQuery with GA4: It is a data storage and management system used to bring data from several data sources (like Google Analytics, Google Ads, Facebook Ads, shopping cart etc.) for the purpose of reporting and analysis. Google BigQuery is one of the products of the Google Cloud Platform.īigQuery is an enterprise-level data warehouse from Google that is used to provide business intelligence through reports and dashboards. GA4 BigQuery is the use of BigQuery for retrieving, storing and manipulating GA4 data. Frequently asked questions about Connecting Google Analytics 4 with BigQuery.Other articles related to GA4 (Google Analytics 4).
#Bigquery geodist how to
