In this case study, we teamed up with a client, who are a North American chain of department stores with a strong online/ecommerce presence. The goals of the project was to improve report automation after migration from Adobe Analytics to Google Analytics 360, as well as maintain continuity in reporting after the migration. Read below for a brief introduction of the case study, or click here to download the full study.

Many CMOs and CIOs (and CDOs) were first introduced to BigQuery and Google Cloud Platform when Google announced linking Google Analytics 360 to BigQuery, enabling the GA data to be exported daily to BigQuery.

Since then, many look at BigQuery as an extension to Google Analytics 360 and tend to forget it’s part of a bigger family, the family of Google Cloud Platform. When one thinks of BigQuery as a component of Google Cloud Platform, it even becomes more powerful and can be utilized for a wider range of tasks.

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Have you used other GCP components in a similar fashion? Please share your experience below.

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About the Author

Hazem Mahsoub
Data Engineering Manager
Hazem loves tea and appreciates observing the slow steeping process. He is a genuine and caring presence, who is motivated by science and experimentation. With the ever growing amount of data, extensive preparation is needed before analysis & reporting can occur to reveal insights, affecting decision making. That’s where data engineering shines and Hazem holds that torch high and architects expert solutions. He received a Bachelor of Science in Communications and Computer Engineering from Cairo University.