CASE STUDY

B2B SaaS: GCP-Based Customer Analytics Stack

A B2B SaaS company built a GCP analytics stack (BigQuery + Looker) for product + revenue analytics. Time-to-insight: weeks → hours.

May 9, 2026 · 2 min read · By admin

At a glance

Industry: Technology
Topics: Cloud Services · Data & Analytics · GCP
Published: May 2026
Headline outcome: 240 Self-service analytics: 240+ users across…

Measured outcomes

What this programme actually delivered.

240

Self-service analytics: 240+ users across product/CS/finance

78%

Engineering tickets for analytics: down 78%

The challenge

A B2B SaaS company had product, billing, and customer-success data in separate warehouses. Cross-domain analytics required engineering tickets that took weeks.

What we built

GCP analytics stack — BigQuery as the unified warehouse, dbt for transformation, Looker for dashboards + self-service. Federated permissions so different teams see what they need.