From enterprise data to trusted intelligence.
We design, engineer, govern and activate the data foundations that power reporting, analytics, data science, AI and enterprise decision-making.
A dashboard is only the visible end of the system.
We structure the meaning, quality and ownership beneath every metric so people, applications and AI agents can use information with confidence.
The complete Data Intelligence value chain.
Foundation, intelligence and activation remain connected. Governance crosses every stage rather than arriving at the end.
- 01Source
- 02Connect
- 03Engineer
- 04Govern
- 01Model
- 02Serve
- 03Analyse
- 04Predict
- 01Operationalise
- 02Activate
- 03Learn
SOURCE → CONNECT → ENGINEER → GOVERN → MODEL → SERVE → ANALYSE → PREDICT → OPERATIONALISE → ACTIVATE → LEARN
DATA STRATEGY & GOVERNANCE
- Data strategy
- Enterprise data architecture
- Ownership and stewardship
- Quality and lineage
DATA ENGINEERING & INTEGRATION
- Ingestion
- ETL / ELT
- Pipelines
- Orchestration
- Observability
DATA PLATFORMS
- Warehouses
- Lakes and lakehouses
- Analytical platforms
- Governed data products
INFORMATION & SEMANTIC MODELLING
- Business entities
- Dimensional modelling
- Semantic models
- Metric definitions
BUSINESS INTELLIGENCE & ANALYTICS
- Power BI and equivalent platforms
- Executive reporting
- KPI governance
- Self-service and embedded analytics
DATA SCIENCE & MACHINE LEARNING
- Forecasting
- Statistical modelling
- Predictive analytics
- Model evaluation and monitoring
AI & KNOWLEDGE FOUNDATIONS
- AI-ready enterprise data
- Governed knowledge sources
- Retrieval-ready information
- Authoritative interfaces
DATA OPERATIONS
- Pipeline monitoring
- BI operations
- Data incidents
- Performance optimisation
BI is a visible practice, built on a deeper foundation.
BI strategy
Operating models, platform architecture, reporting rationalisation and adoption.
Semantic BI
Reusable measures, shared dimensions, KPI definitions and metric governance.
Reporting
Operational, executive and management information that people can trust.
BI engineering
Refresh, deployment, testing, versioning, monitoring and performance.
Start from the business problem, not a technology choice.
Representative pathways are illustrative; the required systems and decisions depend on the actual context.
Our reporting is fragmented.
- 01Source assessment
- 02Information model
- 03Semantic layer
- 04Governed BI
- 05Adoption
Data for humans. Data for machines.
Human analytics
Governed metrics, reporting and analytical experiences for responsible human decisions.
Agent access
Authoritative data and knowledge interfaces so agents operate with approved context and clear human decision rights.
Intelligence is only as useful as the data underneath it.
A specialist practice on one governed operating foundation.
Data Intelligence provides the governed data, analytical models, semantic context, metrics, predictions and knowledge that people, applications and AI agents consume through SGOS. Material decisions remain subject to clear human decision rights.
Advisory
Frames enterprise change; Data Intelligence owns the specialist data capability.
Solutions
Engineers broader enterprise systems; Data Intelligence engineers data and intelligence systems.
Media Studio
Turns creative strategy into media; Data Intelligence supplies analytical evidence and measurement.
Agents
Uses governed intelligence to perform work through approved tools and human-agent workflows.
Managed Services
Transitions specialist data capability from build through deployment into operations.
Academy
Enables data literacy, BI adoption and practical analytical capability.
Discuss a data challenge.
Choose a starting point. This is a lightweight route into group intake, not a request for sensitive schemas or platform detail.
ROUTED TO DATA INTELLIGENCE-LED GROUP INTAKE