· Case Studies
Results, not promises.
Every engagement starts with a clear problem and ends with measurable outcomes. Here is what that looks like in practice.
Retail · Analytics Engineering · AI Automation
E-commerce Pipeline Rebuild
Confidential — UK e-commerce retailer
The Problem
Their ELT pipelines were broken, data processing was painfully slow and the team had stopped trusting their numbers. Analysts were spending more time validating data than using it.
What We Did
Full rebuild using Fivetran, BigQuery and dbt. Holistics dashboards for business users. Automated quality checks and CI/CD pipelines so broken models never reach production again.
The Results
Government · Data Platform · dbt
National Education Data Platform
Ministry of Education, Saint Vincent and the Grenadines
The Problem
Twenty disconnected data sources with no unified view. Ministry staff had no reliable way to track national education outcomes or make evidence-based policy decisions.
What We Did
We designed and built a national dbt data platform consolidating all sources into a single source of truth. Fifteen standardised KPI models with full documentation and a complete team handoff.
The Results
AI SaaS · dbt Rebuild · Data Quality
AI Company Data Rescue
Confidential — AI SaaS company, London
The Problem
Ten legacy SQL models: undocumented, untested and increasingly unreliable. The data team was firefighting discrepancies instead of building. Stakeholders had stopped trusting the numbers.
What We Did
Full dbt rebuild from scratch with automated quality checks, CI/CD monitoring and clear documentation. Stakeholders now self-serve without pinging the data team.
The Results
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