Data engineering
Reliable pipelines that bring data together on a schedule, with checks that catch problems early.
- Data pipelines and ETL / ELT
- Integration with accounting, CRM and ERP
- Cloud data warehouses and lakehouses
- Data-quality checks and alerting
Business intelligence
Dashboards built around the questions leaders ask, not around the tables that exist.
- Power BI dashboards and reports
- Semantic models and KPI definitions
- Paginated and scheduled reporting
- Embedded analytics in portals
How it works
Each KPI has one written definition and one calculation in a shared semantic model, so 'revenue' or 'on-time delivery' means the same thing on every report that uses it.
Governance and access
The right people see the right data, and you can show who had access.
- Row-level and object-level security
- Workspace and licence administration
- Data catalogue and lineage
- Retention and privacy controls
Data for AI
Prepare clean, permissioned data that AI tools can safely use.
- Data readiness assessments
- Document and knowledge-base preparation
- Retrieval-augmented generation (RAG) data sources
- Forecasting and predictive models