services / bi-reporting / metabase
Metabase implementation and audits.
We set up Metabase for fast, self-serve analytics on top of your warehouse, with governance that scales.
✦ Ready for the AI era. Metabase on a clean warehouse model gives AI accurate answers too. We set it up that way.
trusted by data teams at
camino/financial
✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.
what we do
Metabase, implemented and audited by experts
Implementation
- Deployment and warehouse connection
- Models, metrics and questions
- Permissions and collections
- Embedding and alerts
Audits
- Question and dashboard sprawl review
- Performance and query-cost review
- Permission and collection clean-up
- Metric consistency review
rd audit --metabase ✔ warehouse connected ✔ models curated ! questions duplicated across collections ! slow dashboards on large tables ✗ everyone has admin 1 critical · 2 warnings · 2 passed
// illustrative
in practice
What working with Metabase looks like
How it works
- It is open source and easy to self-host, with a simple question builder for non-technical users
- Models and metrics give business users curated starting points instead of raw tables
- Embedding lets you add dashboards to your product or internal tools
- Permissions and data sandboxing control access per group
Problems we fix most often
- Hundreds of saved questions that overlap
- Slow dashboards from querying raw event tables
- No ownership of models and metrics
- Embedded analytics without proper access control
where it fits / Metabase is a great fit for startups and teams that want fast time to value and low cost. We set it up on top of a clean warehouse model.
faq
Frequently asked questions
Should we self-host Metabase or use the cloud version?
We help you choose based on your security needs and team capacity, and set up either option.
How do you keep Metabase tidy as more people use it?
We set up curated models, collections and permissions, and clean out duplicate questions and dashboards.
What does your Metabase implementation cover?
Deployment and warehouse connection, models, metrics and questions, permissions and collections, embedding and alerts.
What does a Metabase audit look at?
Question and dashboard sprawl review, performance and query-cost review, permission and collection clean-up, metric consistency 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.