Discovery
Understand before designing.
Examine business objectives, source systems, data owners and reporting needs. Establish the rules, gaps and dependencies that the work must address.
A shared understanding of scope, sources and constraints.
Our approach
Evidence, models, mappings and checks. A practical working model that gives business stakeholders and technical teams a common foundation.
Examine business objectives, source systems, data owners and reporting needs. Establish the rules, gaps and dependencies that the work must address.
A shared understanding of scope, sources and constraints.
Define the target data model, source-to-target mappings, database design and migration approach. Establish validation controls before delivery begins.
Models, mappings and a practical validation strategy.
Work through reviews, migration trials and reconciliation checks. Resolve issues, validate results and prepare documentation for a controlled handover.
Validated structures, reconciliation checks and handover documentation.
02 / Why data first
An interface is only as dependable as the information behind it. We connect business meaning to technical structure, so applications and reporting have a foundation they can trust.
A connected discipline, from understanding your source systems to preparing your next platform.
Delivery discipline
A sound design needs to survive the move into production. We consider environment consistency, migration readiness, issue resolution and documentation throughout delivery.
From development and testing to pre-production and production, the focus stays on clear ownership and structures that teams can maintain.
A stronger foundation starts here
A new platform, a complex migration, or a data layer that needs a clearer direction. Let’s talk about what comes next.
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