Assess the estate
Interview stakeholders, map reports and systems, identify data owners, document pain points, and expose the current decision pathways.
Approach
Aquilith works in focused stages that reveal the real constraints, prioritise high-value pathways, and leave teams with systems they can operate.
Operating principle
A data foundation should not be a one-off build for a single report. Each stage is designed to create reusable patterns, clarify ownership, and reduce future implementation risk.
Interview stakeholders, map reports and systems, identify data owners, document pain points, and expose the current decision pathways.
Define target architecture, integration patterns, governance rules, prioritised use cases, and the first delivery sequence.
Build controlled ingestion, modelling, quality checks, semantic layers, documentation, and the first business-facing outputs.
Stabilise monitoring, handover routines, change management, and improvement backlogs so the foundation stays useful.
Engagement shape
The work is structured so leaders can see the decisions being made and technical teams can implement without ambiguity.
System inventory, reporting dependency map, data issue register, key metric definitions, and high-risk manual workflows.
Architecture decisions, integration sequence, governance model, delivery backlog, and risk controls for implementation.
Working data products, validation checks, access patterns, documentation, and reporting or activation layers.
Runbooks, ownership routines, monitoring signals, change process, and prioritised optimisation opportunities.
Start the assessment
Share the systems, reports, and business decisions creating pressure. Aquilith will frame the data pathway behind them.