These new updates is aimed at enhancing the customers’ decision-making abilities and get a better return on investment (ROI).
Google has announced an overhauled version of Google Analytics. In one of the major revamps of the platform, in a decade, the new Google Analytics is built on the foundation of App+Web property, whose beta was introduced in 2019. The new Google Analytics has machine learning at its core and allows integration between analytics and Google Ads. The company claims that this would help customers manage their data better and can bear industry disruptions.
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Automate Data Import to Google Analytics. Set up a data pipeline to import data to google analytics using Google Tentacles and GCP.
🔥Intellipaat Data Analytics training course: https://intellipaat.com/data-analytics-master-training-course/ In this data analytics for beginners video you wi...
Disclaimer: Many points made in this post have been derived from discussions with various parties, but do not represent any individuals or organisations.
GA data is a lot of fun to work with (IF you ignore the common tracking issues caused by connectivity and VPN etc.), and the non-relational nature of BigQuery .
Google Analytics is an amazing tool. It enables you to make the data work for you, get a broader picture, and understand your visitors better. The problem comes when you expect more from this ‘reporting’ tool. I will tell you why you should consider leveraging BigQuery (or a similar tool) along with your Google Analytics data.