services / bi-reporting / looker
Looker implementation and audits.
We build Looker environments that scale: clean LookML, governed explores and dashboards people actually use.
✦ Ready for the AI era. Looker's semantic layer is ideal for AI. We build LookML your agents can use to answer questions correctly.
trusted by data teams at
camino/financial
✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.
what we do
Looker, implemented and audited by experts
Implementation
- LookML modelling and project structure
- Explores, dashboards and embedded analytics
- Permissions, content governance and development workflow
- Migration from legacy BI tools
Audits
- LookML quality and duplication review
- Performance and PDT/cost review
- Dashboard and content sprawl clean-up
- Access and governance review
rd audit --looker ✔ LookML project structured ✔ explores governed ! dashboard sprawl: 214 unused ! slow explores on 3 models ✗ duplicate revenue definitions 1 critical · 2 warnings · 2 passed
// illustrative
in practice
What working with Looker looks like
How it works
- LookML defines dimensions, measures and relationships in version-controlled code, so metrics are defined once
- Explores let business users ask new questions without writing SQL
- Persistent derived tables and caching keep large datasets fast
- Git-based development with review gives analytics the same discipline as software
Problems we fix most often
- LookML that grew without structure and is hard to change
- Slow dashboards from heavy joins and missing aggregates
- Duplicate metrics across models
- Users who cannot find the right explore
where it fits / Looker suits organisations that want governed, shared metric definitions. We design the model, build dashboards and train your team.
faq
Frequently asked questions
Do you write and review LookML?
Yes. We build LookML projects, review existing ones for quality and performance, and clean up duplicated logic.
Can you help us move to or from Looker?
Yes. We plan and run migrations to and from Looker, including rebuilding the key dashboards.
What does your Looker implementation cover?
Lookml modelling and project structure, explores, dashboards and embedded analytics, permissions, content governance and development workflow, migration from legacy bi tools.
What does a Looker audit look at?
Lookml quality and duplication review, performance and pdt/cost review, dashboard and content sprawl clean-up, access and governance review.
Do you build a semantic layer first?
Where it makes sense, yes. Defining metrics once makes every dashboard, and every AI agent, consistent. Learn about semantic layer build.
Can we use AI on top of our BI setup?
Yes, once metrics are governed. We connect AI-assisted analytics to the same definitions your dashboards use, so answers match.
Do you work with the tools we already have?
Yes. We work with the BI tools you already use, or help you choose the best fit for your use case, team and budget.
How much does it cost?
Pricing is tailored to your scope. Get a quote or schedule a consultation and we will give you a clear estimate.
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how we work
From first call to running system
01 /
Discover
We learn your goals, stack and constraints.
02 /
Plan
Audit findings and a clear, prioritised plan.
03 /
Build
Implementation by engineers, reviewed with your team.
04 /
Run
Hand over, or keep us on to support it.
Tell us what you need. We'll scope it.
Pricing is tailored to your sources, volume and the parts of the platform you use. Request a demo or book a call with the team.