Data Engineering and Governance
One reliable place where all your numbers agree.
We design, build, modernise and operate the data foundation everything else depends on: the platform, the integrations that feed it, and the governance that makes its numbers trustworthy. Our objective is not to move data. It is to make information consistent, traceable, governed and ready for reporting, analytics and AI.
Modern data platform
A governed platform that serves reporting, analytics, machine learning and AI from one foundation, instead of a different copy of the truth for each. We design the target architecture, build it, and migrate what you have today without losing a day of reporting.
- Enterprise data architecture and platform strategy
- Cloud data platforms: warehouse, data lake and lakehouse designs
- Dimensional and enterprise data modelling, analytics engineering
- Data migration and cloud modernisation
- Performance and cost optimisation
Integration engineering
Enterprise intelligence depends on connected systems. We integrate the sources you actually run, in batch and in real time, as a durable architecture rather than a tangle of point-to-point connections that nobody dares to touch.
- ERP, CRM, finance, HR, supply chain and operational systems
- SaaS applications, APIs, databases, cloud services and legacy systems
- IoT and sensor platforms, external data providers
Governance and trust
AI cannot outperform the information it depends on. We establish governance without bureaucracy: ownership, definitions, quality rules, master data and lineage, built into the platform as controls rather than written into documents that sit beside it.
- Data ownership and stewardship, business glossary, data catalogue
- Data quality rules and monitoring, data observability
- Master data and reference data management
- Metadata and lineage from source to report
- Access governance, sensitive-data classification, auditability and retention
- AI and model governance for everything built on top