Nowadays we talk more and more about AI and its applications in various fields: this time it is the turn of Data Analysis!
We will see how to use data from GA4, integration with BigQuery and offline data, and finally how to really apply AI to increase revenue and performance of your project.
Enrico Pavan is an expert data analysis consultant for over 15 years, entrepreneur and founder of Analytics Boosters, a company focused on Analytics and Conversion Rate Optimization, with offices in Treviso, London and Miami. He is also a writer, international speaker and trainer.
His analytical skills positively impact clients' business thanks to useful insights, timely analytical strategies and optimization. As a writer he wrote two chapters for “Applied Analytics” published by Henry Stewart Publications and the first GA4 introductory guide in Italy. He is also Chairman of the Marketing Analytics Summit Italy since 2019. From 2014 he is always among the top 5 Digital Analysts World Wide decreed by the Digital Analytics Association at the Quanties Awards.
MAIN AREAS OF SCIENTIFIC INTEREST
Digital Analytics, Conversion Rate Optimization, Statistics, Informatica, Artificial Intelligence, Machine Learning, Data Privacy, User Experience
You'll get a look at how the Query function in Google Sheets is similar to SQL syntax and can help you learn BigQuery.
Plus, a side-by-side comparison of actions with the Query function and BigQuery equivalents.
Ben will also use Connected Sheets to bring data from BigQuery into Sheets.
Ben helps individuals and businesses better understand their data and work more efficiently with Google Workspace tools.
Over 50,000 professionals from 1,000+ companies have enrolled in his training courses, including employees from PwC, Netflix, Verizon, Google, Capital One, and other Fortune 500 companies.
Google recognized Ben as a Google Developer Expert for Google Workspace Technology in 2019, one of only a handful worldwide.
Ben works primarily with Google Sheets and Apps Script and has extensive experience with Google Data Studio, Microsoft Excel, SQL, and Tableau. He previously taught data courses and workshops for General Assembly in Washington, D.C.