Your data stack,
built right.
MetricHouse designs, builds and manages end-to-end, AI-ready data platforms, from source to dashboard, for SMEs. Selecting the right tools for your business. No guesswork, no overengineering.
The full stack,
end to end.
We scope, design and build your complete modern data platform, delivering data ingestion, transformation, and dashboards. Documentation is built in from day one, so your team can take full ownership whenever you're ready.
Learn more →From KPI workshop to live dashboard. MetricHouse helps define the metrics that matter to your leadership team, model them cleanly, and deliver reports your whole business can rely on.
Learn more →Stay current without hiring in-house. Our monthly retainers cover pipeline monitoring, model updates, new connectors, and ongoing reporting support.
Learn more →
A structured process.
No surprises.
An infrormed, structured 60–90 minute session covering your data sources, reporting needs, KPIs, team access, and budget. We map every source system to the right connector and flag any risks before scoping begins.
Taking a pragmatic approach, we recommend the right solution for your needs with a fixed-fee proposal, clear deliverables, and a realistic timeline.
We configure integration, start ingestion, write transformations and present dashboards. By documenting from the offset, MetricHouse handsover your platform, when you decide. Typical delivery: 6–8 weeks.
Keep your platform running and evolving. We handle pipeline monitoring, new source connectors, pipeline changes, and reporting updates; so your team stays focused on the business.
Problems we
know well.
Shopify, Xero, and Google Ads data living in silos. Monthly reconciliation was taking two days of manual CSV work and still producing conflicting numbers across finance and marketing.
Unified all three sources into Snowflake via Airbyte. Built dbt models for margin, CAC, and blended ROAS. Delivered Power BI dashboards in six weeks.
Monthly close cut from two days to two hours. Finance and marketing now share a single model with no reconciliation required.
An 80-person consultancy had utilisation data in Harvest and pipeline in HubSpot — but no way to see them together. Leadership was flying blind on capacity and revenue forecast accuracy.
Ingested data from Harvest and HubSpot into Snowflake with Fivetran, then modelled utilisation against live pipeline using dbt. Power BI reports with row-level security by team lead delivered in eight weeks.
Leadership can now see live utilisation versus forecast in one report. Billing accuracy improved and the team identified a persistent resourcing gap within the first month.
A Series A SaaS business had product analytics in Mixpanel, revenue in Stripe, and support tickets in Zendesk — but no way to link them. Churn analysis was a manual quarterly exercise.
Connected all three sources into Snowflake using Airbyte. Built dbt models linking the full customer journey from trial through to churn. Deployed Tableau so Analysts could build and explore their own reports.
Churn analysis now runs in minutes. The CS team identified an at-risk segment representing 15% of ARR — previously invisible in the data.
Ready to build
your data platform?
Book a free, no-obligation discovery call. Tell us your biggest data challenge and we'll show you how we'd approach it; No sales pitch, just a straight conversation about what's right for your business.