services / analytics-tracking / data-warehouse-build
Data warehouse build for analytics.
We design and build the warehouse that sits behind your analytics: raw data in, clean models out, ready for BI, experimentation and AI.
✦ Ready for the AI era. A well-built warehouse is the foundation for AI. We structure and govern your data so agents can use it.
trusted by data teams at
camino/financial
✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.
what we do
Data warehouse build, implemented and audited by experts
Implementation
- Warehouse selection, design and migration
- Pipelines from analytics, ads, CRM and product data
- Raw, staging and marts layers
- Performance and cost optimisation
Audits
- Cost and performance review
- Model quality and duplication
- Freshness and completeness monitoring
- Access control and security
rd audit --data-warehouse-build ✔ raw → staging → marts ✔ freshness checks passing ! duplicated revenue logic in 5 models ! storage cost growing ✗ no access reviews in 12 months 1 critical · 2 warnings · 2 passed
// illustrative
faq
Frequently asked questions
Which data warehouse should we choose?
It depends on your cloud, team, data volume and budget. We compare options such as BigQuery, Snowflake and Redshift against your needs and give you a clear recommendation.
Can you migrate us from one warehouse to another?
Yes. We plan the migration, move data and models, validate the results side by side and then cut over with minimal disruption.
What does your Data warehouse build implementation include?
Our Data warehouse build implementation includes: warehouse selection, design and migration, pipelines from analytics, ads, CRM and product data, raw, staging and marts layers, performance and cost optimisation.
What does a Data warehouse build audit cover?
An audit of your Data warehouse build setup covers: cost and performance review, model quality and duplication, freshness and completeness monitoring, access control and security. You get a prioritised report with clear fixes.
How long does Data warehouse build work take?
It depends on the size of your site or app and the number of events involved. After a short discovery call we give you a clear scope and timeline.
Can you work alongside our team and existing setup?
Yes. We work with your developers, analysts and agencies, and document everything so your team can maintain it.
Do you work with other analytics tools too?
Yes. We are vendor-neutral and work with GA4, Adobe Analytics, Mixpanel, Heap, Amplitude and more, so we can recommend what fits you best.
Will this make our data ready for AI?
Clean, well-defined, well-documented events are exactly what AI agents and models need. We build tracking and warehouse pipelines with that in mind.
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. Get a quote or book a call with the team.