Technology
Technology
A pragmatic, vendor-independent stack. Chosen for maintainability, cost control and the client's own team.
Data & Platform
- Lakehouse and warehouse architecture
- Bronze / Silver / Gold layering
- Batch and streaming ingestion
- Data quality and validation
- Governance, lineage and cataloguing
AI & Analytics
- LLM and generative AI integration
- Forecasting and predictive models
- Document and text intelligence
- Decision intelligence and scenario modelling
- Evaluation, monitoring and guardrails
Engineering & Delivery
- Cloud-native architecture
- APIs, integration and automation
- Modern web and product engineering
- Security, access control and compliance by design
- Lean / Six Sigma delivery discipline
Framework
The GreenBlue Data Intelligence Framework
We help organizations move from fragmented data to trusted intelligence.
Bronze
01- Raw data
- Fragmented
- Duplicated
- Unstructured
Silver
02- Clean
- Validated
- Standardized
- Integrated
Gold
03- Business-ready
- Governed
- Trusted
- Reportable
Intelligence
04- AI
- Forecasting
- Automation
- Decision support
Impact
05- Better decisions
- Higher efficiency
- New products
- Sustainable growth
Technology
Engineering principles
- 01
Start from the decision, not the tool.
- 02
Data quality before dashboards.
- 03
Small, verifiable increments over multi-year programmes.
- 04
Build what the client's team can operate.
- 05
Measure business outcomes, not model metrics.