With GA4 putting web and behavioural data in a data warehouse into the hands of more analysts than ever before, you may be wondering how to get the best from your data in BigQuery (or any data warehouse), keep costs manageable, and how to give your users the best performance possible. This talk will cover different approaches to data modelling, the trade-offs associated with each approach, and how the dashboard/BI tool you’re using (whether it be Looker or Looker Studio, Tableau, Power BI etc) impacts your data modelling.

We all know that data, like wine and cheese, becomes more valuable when combined. And, just like wine and cheese, they can lead to serious headaches. Whether you are emailing Excel files around, capturing data from thousands of IoT-devices, or just joining your Google Analytics and sales data, you can benefit from following a structured process to minimize your headaches. After debugging yet another failed pipeline I have distilled my experience of building data ingestion pipelines in 8 simple (though not necessarily easy) steps from setting up triggers to archiving and retention.

Google Professional Services is a team of technical consultants and engineers, many of whom have been heavily involved in GA4 migration projects over the last years.

2023 was full of GA4 monkey stuff. As a matter of fact, most of analyst's life is full of coding and tech.

The usage of GA4 and BigQuery real-time reports features can be quite challenging, especially in high-traffic volume websites and other demanding environments. For example, assuming that you find a viable solution for a specific project, it is crucial to determine in advance the projected BigQuery expenses, in order to avoid unpleasant surprises. Architecture, data management, limits and quotas on API Requests are also part of this complex equation. Matteo and Roberto will share some real-world solutions for GA4 and BigQuery real-time needs tested with several clients in different industries.

This session delves deep into the mechanics and methodologies of constructing AI-driven applications tailored for GA4.