Bake
GA4 Data Model & BigQuery Reporting
A scalable data architecture was built for Calumet, transforming raw GA4 data from BigQuery into a structured data model, significantly simplifying reports, dashboards, and marketing analyses.
Industry
B2C
Year
2025
Customer
Peace pipe
Initial Situation
GA4 raw data in the BigQuery export is very detailed, but often too complex for quick analyses and dashboards. Events, parameters, sessions, user information, and e-commerce data are stored in nested structures and must first be prepared. For regular marketing analyses, performance evaluations, and reporting processes, there was a lack of a c
Our Approach
Data Flakes developed a structured BigQuery data model that extracts, cleanses, and transfers the relevant GA4 events, parameters, and dimensions into clearly defined tables.
Data Audit
Analysis of existing GA4 BigQuery raw data, event structures, parameters, and relevant reporting requirements.
Result
Complex GA4 raw data was transformed into a robust and scalable data foundation that significantly simplifies analysis and reporting processes. The prepared data enables faster evaluations, better dashboards, and a more reliable basis for marketing decisions.
