01
Data Quality & Reliability
The data a business runs on has to be right, and it has to be right on a Monday morning without anyone checking by hand. We put testing, monitoring and incident response around the pipelines and tables that matter, and we make the results visible to the people who depend on them.
- Data testing and contract enforcement
- Freshness, volume and schema monitoring
- Incident response and root-cause analysis
- Reconciliation between systems of record
02
Data & AI Readiness
Most AI initiatives do not stall on the model. They stall on the data underneath it: undocumented definitions, no lineage, and no way to tell whether a training set is representative. We do the groundwork that makes an AI programme buildable, and we are direct about what is not ready yet.
- Readiness assessment against a concrete use case
- Lineage and documentation for the data in scope
- Access, ownership and sensitivity mapping
- Feature and training data pipelines
03
Data Migration
Legacy system migrations and cloud warehouse adoption, delivered without losing trust in the numbers along the way. The hard part is rarely moving the data. It is proving, to people who will be held accountable for the figures, that what came out matches what went in.
- Target architecture and migration sequencing
- Parallel running and reconciliation
- Model rebuild in the new platform
- Cutover, decommissioning and handover
04
Analytics & Decision Support
Analytics is worth what the decisions it changes are worth. We work backwards from the decision: what is being decided, by whom, on what cadence, and what evidence would actually move it. Then we build the smallest thing that answers it well.
- Decision mapping and metric definition
- Semantic and reporting layers
- Experimentation and causal analysis
- Self-serve analytics that teams genuinely use
05
Data Management
Ownership, definitions, master data and lineage that survive contact with reality. Governance fails when it is written for an audit rather than for the people doing the work, so we design it to be the path of least resistance.
- Ownership and stewardship models
- Business glossary and metric definitions
- Master and reference data management
- Lineage, cataloguing and access control