Selected case
AI-ready data
A data platform prepared for intelligent queries
Airflow, dbt, fact and dimension models, quality checks and technical documentation prepared for people, BI and AI.
Challenge
Start with the decision, not the chart.
Reliable queries required more than delivering tables: relationships, business rules, quality and ownership had to be explicit across every transformation.
Architecture
A traceable path from source to experience.
Airflow coordinates ingestion, dbt materializes the analytical layer and documentation describes tables, columns, relationships and metrics for human and AI consumption.
- 01Source and rule inventory
- 02Fact and dimension modeling
- 03Versioned and observable pipelines
- 04Quality tests and documentation
- 05Structured query context
What becomes visible
Analysis tied to operational questions.
- 01Source traceability
- 02Layer-level quality
- 03Consistent business metrics
- 04Semantic documentation
- 05RAG-ready context
Outcome