Transforming raw GA4 data into a structured URL‑mapped model in BigQuery and redesigning the reporting layer, we delivered fast, reliable, and filterable insights that the team can now confidently maintain and extend.
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Client
AccessAble
Industry
Accessibility Services
Tech Stack
Google Analytics 4 (GA4), BigQuery, Looker Studio
The Challenge
- Confidence: The existing Looker Studio dashboard was unreliable, with metrics not matching expectations.
- Structure: GA4 data required URL mapping and transformation before it could be used for meaningful reporting.
- Performance: Looker Studio was hitting quotas due to the volume and complexity of the underlying data.
- Visibility: The team needed clear reporting on page views, engagement, traffic sources, and device breakdowns.
- Ownership: Reporting needed to be maintainable in‑house, including manual updates for new URLs.
The Solution
We rebuilt AccessAble’s analytics workflow to ensure accuracy, performance, and long‑term maintainability.
- Data Quality: Validated GA4 data, introduced URL mapping, and transformed raw events into structured BigQuery views.
- Performance: Optimised the data model to prevent Looker Studio quota issues and ensure fast report loading.
- Reporting: Designed a clean, intuitive dashboard showing event counts, page views, engagement, traffic, and device insights with filters for organisation and date.
- Handover: Documented the full workflow and provided edit access so the team can maintain URLs and extend reporting independently.
The Results
- Accuracy: Reliable GA4 reporting replacing previously inconsistent dashboards.
- Performance: Fast‑loading Looker Studio reports without quota interruptions.
- Insight: Clear visibility into page performance, engagement, traffic sources, and device usage.
- Control: Internal ownership of the dashboard, with simple manual maintenance for new URLs.
- Scalability: A BigQuery‑backed reporting layer that can grow with AccessAble’s analytics needs.
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