Data Engineering & Storage

What does good data engineering look like?

We often use Supermetrics as a data connector. As well as having excellent functionality, it has a diverse range, allowing for integration across 150+ platforms and into visualisation tools

 

BigQuery

We typically utilise Google’s BigQuery data warehouse to handle your data table storage. Data warehousing allows for large-scale data capture and storage and can handle back-end calculations, which significantly speed up the data visualisation.

Google’s own data warehouse integrates smoothly with the rest of the Google suite, which usually forms the basis of digital media data analytics.

 

Automation through Google Sheets

Google Sheets is still the most efficient means of storing your monthly, weekly and daily data. But with the right expertise, Sheets can work harder for you than you might realise. For example, we could extract and store data from your CMS to upweight bid amounts on areas that have had low sales – this would allow your data to go beyond the limits of Google Ads.

 

Use cases of data engineering

  • Universal Analytics storage in Google Sheets / BigQuery
  • Benchmarked GA4 data stored within BigQuery
  • Google Search Console data stored within Google Sheets
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