Data & AI
Turning data into decisions you can defend.
From raw data ingestion through analytics dashboards and machine learning models, we help organisations build data capabilities that drive real decisions — not just reports that get filed.
What you get
- A unified data model and pipeline that reliably moves data from source systems to where analysts and applications need it.
- Dashboards and reports that answer the questions your team actually asks, built with the people who will use them.
- ML models that are explainable, monitored for drift, and deployed with the operational rigour of any production system.
- A data governance baseline: ownership, quality metrics, and retention policies that satisfy audit and compliance requirements.
Quality signals
Defined per pipeline
Data freshness SLA
80%+ data quality checks
Pipeline test coverage
Drift detection from day 1
Model monitoring
Data dictionary + lineage
Documentation
How we deliver
Data audit
Map data sources, assess quality, identify gaps. Build a shared understanding of what exists before designing what's needed.
Architecture design
Choose the right data platform for your scale, budget, and team capabilities — warehouse, lakehouse, or streaming architecture.
Pipeline development
Build, test, and monitor ingestion, transformation, and serving layers with dbt, Airflow, or the tooling that fits your ecosystem.
Analytics & ML
Dashboards, self-serve analytics, and — where the use case justifies it — machine learning models with proper evaluation frameworks.
Governance & handover
Documentation, data catalogue, quality monitoring, and training so your team owns the platform after we hand it over.
Frequently asked questions
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