Proof

Measured work, not promises.

Three engagements on Looker and BigQuery — an end-to-end BI platform, an enterprise migration, and a performance and cost optimization. The numbers below are the ones we measured.

Architecture

Building complete BI platforms from the ground up

End-to-end BI on Google Cloud and Looker — ingestion, transformation and a high-performance semantic layer, built and governed as one platform.

90% faster report generation, with 100% source unification
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Migration

From two legacy environments to one cloud-core platform

A phased migration that consolidated two enterprise BI instances into a single cloud analytics core — with a fallback design that kept users working throughout.

2 → 1 legacy environments unified, with little to no disruption
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Optimization

Deep tuning of a high-volume Looker and BigQuery platform

Performance, FinOps and semantic-model work on an analytics platform under intensive daily use — faster dashboards, lower spend, more self-service.

30%+ lower BigQuery cost, plus 40%+ faster dashboard loads
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Your data, next

Want this kind of result on your stack?

Start with a Looker audit. We map the cost and performance you're leaving on the table — before you commit to anything bigger.