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Four services that add up to a working data function.
You can hire us for one stage or all four. They're described separately below because that's how people buy them — but they're designed as one connected pipeline, and that's why the results hold up.
01 / Source
Data engineering
The unglamorous layer everything else depends on. If this is wrong, no dashboard or model above it can be right.
What we build
We connect your operational systems into a single governed warehouse, with scheduled pipelines, automated tests and alerting. You get one place where the data is correct, current and explainable — including where each number came from.
Typical deliverables
- Ingestion from ERP, CRM, databases, APIs and files
- Change data capture for near-real-time tables
- Database modelling — dimensional and 3NF, designed for how you query
- Data warehouse design and dbt transformation layers
- Data migration between databases, warehouses and clouds
- Parsing deeply nested XML and JSON into clean, queryable tables
- Orchestration with retries, alerting and SLA monitoring
- Data quality tests on freshness, volume and referential integrity
Tools we use
A speciality worth naming
Extremely complex XML and JSON? Bring it.
Deeply nested structures, inconsistent schemas, files that break every off-the-shelf parser — bank feeds, insurance schemas, EDI exports, vendor API dumps. We turn them into clean relational tables with the lineage to prove where every value came from. If a file has defeated your team, send us a sample and we will tell you within a day whether it is tractable.
02 / Model
Data analytics
Where scattered tables become agreed definitions — and leadership meetings stop being arguments about whose number is right.
What we build
We work with your commercial and finance leads to define the twenty or so metrics your business actually runs on, encode them once in a shared semantic layer, and document them in language a non-technical manager can check.
Typical deliverables
- A metric dictionary with owners and plain-English definitions
- Semantic layer so every tool computes the number identically
- Cohort, funnel, retention and margin analysis
- Forecasting and scenario models for planning cycles
- Ad-hoc analysis on the live questions leadership is asking
- Analyst enablement so your team can answer the next one
Tools we use
03 / Report
BI reporting
Dashboards designed around decisions, not around available fields. The test is whether people open them on Monday without being asked.
What we build
We start by asking what each viewer decides and how often. Then we build the smallest report that supports that decision, put it where they already work, and cut everything else. Fewer charts, more use.
Typical deliverables
- Executive scorecard with clear targets and variances
- Operational dashboards for daily and shift-level decisions
- Finance reporting aligned to how you actually close
- Scheduled delivery to email, Slack or Teams
- Row-level security and access governance
- Training sessions and a self-serve starter kit for your team
Tools we use
04 / Predict
AI & machine learning
Models that reach production and stay there. We'll tell you honestly when a rule and a good dashboard would beat a model.
What we build
We pick use cases where a prediction changes an action someone already takes — then deploy the model into that workflow, with monitoring, so it keeps earning its place after the launch excitement fades.
Typical deliverables
- Churn, propensity and lead scoring pushed into your CRM
- Demand and inventory forecasting for planning teams
- Document extraction from invoices, statements and contracts
- RAG assistants over your internal knowledge base
- Anomaly and fraud detection on transaction streams
- Deployment, drift monitoring, model cards and handover docs
Tools we use
Platforms
We work in your cloud, not ours.
Everything runs under your accounts and your billing, in your source control. Certified across all three major providers.
Not sure which stage you need?
That's what the first call is for. Describe the problem in plain language and we'll tell you where it actually sits — even if the answer is that you don't need us yet.
Replies within one business day · No obligation