Case Study: The Big Family of BigQuery: Achieving Reporting Continuity after Platform Migration
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.
Have you used other GCP components in a similar fashion? Please share your experience below.
Have you encountered any barriers when implementing a similar flow? Contact Cardinal Path today to learn how our Data Intelligence Team can help.
Hazem Mahsoub
Data Engineering Manager
Hazem has a strong passion for technology and science. His long career allowed to shift focus two or three times. Now very passionate about data engineering and data science. With the ever-growing amount of data, extensive transformations and preparation are needed before analysis and reporting can occur to reveal insights, affecting decision making. That’s where Hazem and his data engineering team shine and provide top-notch solution design and implementation. He received a Bachelor of Science in Communications and Computer Engineering from Cairo University. Since then, he has been preferring industry certificates, the latest Professional Data Engineer from Google.