Post by account_disabled on Nov 23, 2023 0:46:02 GMT -5
As a GA user, you do not need to have advanced knowledge of ML or Python to use this technological achievement. No user fees Like the previous version, GA is available for free. Integration with other Google products GA quickly and correctly integrates with other Google products such as Google Ads, Search Console and DV. Thus, it enables effective management of advertising campaigns. Standardization everything is an event In GA , everything from clicking a button to opening a page is treated as an event. This simplifies the process of tracking and analyzing data, and also facilitates the standardization of ETL Extract, Transform, Load processes.
Google BigQuery Integration GA allows you to easily transfer data to Google BigQuery, Google's powerful data mining platform. This opens the door to advanced analytics and data science, enabling the use of tools for predictive analytics, machine learning and much more. Changed system architecture Email Marketing List Universal Analytics activity type… is recorded in Google Analytics as… Scene Happening Happening Happening Social Happening Transaction/ecommerce Happening User activity time Happening Exception Happening Application view/screen display Happening At UA, the analysis center was focused on sessions, i.e. individual visits by users to the website. However, in GA , the user is the center of attention.
Each user has their own unique attributes, i.e. metadata that describes them, such as user_ID, preferences, value and other attributes. The events themselves also have their own attributes that provide additional information about the user's activity. USER in the Google Analytics center This change in the architecture of the GA system requires a thoughtful approach to developing an analytical strategy. Now you need to include both user attributes and event attributes to get a complete picture of how the user interacts with your site. When designing an analytical strategy in GA , pay attention to what information is relevant to the analysis, what user and event attributes will be monitored, and what goals and actions are key.
Google BigQuery Integration GA allows you to easily transfer data to Google BigQuery, Google's powerful data mining platform. This opens the door to advanced analytics and data science, enabling the use of tools for predictive analytics, machine learning and much more. Changed system architecture Email Marketing List Universal Analytics activity type… is recorded in Google Analytics as… Scene Happening Happening Happening Social Happening Transaction/ecommerce Happening User activity time Happening Exception Happening Application view/screen display Happening At UA, the analysis center was focused on sessions, i.e. individual visits by users to the website. However, in GA , the user is the center of attention.
Each user has their own unique attributes, i.e. metadata that describes them, such as user_ID, preferences, value and other attributes. The events themselves also have their own attributes that provide additional information about the user's activity. USER in the Google Analytics center This change in the architecture of the GA system requires a thoughtful approach to developing an analytical strategy. Now you need to include both user attributes and event attributes to get a complete picture of how the user interacts with your site. When designing an analytical strategy in GA , pay attention to what information is relevant to the analysis, what user and event attributes will be monitored, and what goals and actions are key.