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Google Cloud Metrics Platform

Modern and flexible analytical infrastructure based on BigQuery.

In partnership withDataScale LabDataScale Lab

We design your end-to-end data platform on Google Cloud to centralize product, marketing, and business metrics in BigQuery.

The problem

Data scattered across multiple tools without a single source of truth, slow manual reporting processes, and a lack of analytical governance or collaboration.

My approach

  1. Architecture Design: Analytical modeling and ingestion strategy.
  2. Implementation: BigQuery configuration and ingestion pipelines.
  3. Visualization & Reporting: Configured Looker or Metabase.
  4. Operations & Best Practices: Cost governance and security.

Deliverables

  • Configured BigQuery infrastructure
  • Automated data ingestion pipelines
  • Ready-to-use Looker or Metabase dashboards
  • Technical architecture and data model documentation

Frequently asked

We generally configure Looker Studio or Metabase, depending on the self-service level and complexity of your team's queries.
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