Services

Three capabilities, one connected outcome

MDA's work rests on three capability pillars, applied through one journey from diagnosis to scale. Strategy, engineering and analytics are treated as parts of the same decision chain, so nothing is designed that cannot be built, and nothing is built without a decision it serves.

Data Strategy, Governance & Architecture

Connect executive priorities to a target state that can actually be implemented.

  • Maturity and readiness assessment
  • Data strategy and target architecture
  • Canonical and logical modelling
  • Semantic design and shared definitions
  • Governance, quality and lineage
  • Security and access design
  • Operating model and decision rights

Data & Analytics Engineering

Create reliable movement, transformation and serving layers across fragmented estates.

  • Cloud data platform design
  • Integration and change data capture
  • ELT and ETL pipelines
  • Modelling, orchestration and testing
  • Infrastructure as code and CI/CD
  • APIs and data services
  • Structured and vector retrieval, where justified

Intelligence & Decision Support

Turn trusted models into reporting, operational intelligence and real adoption.

  • Executive and departmental BI
  • Governed metrics and semantic layers
  • Alerts and automated reporting
  • Analytics product design
  • Decision-support workflows
  • Self-service enablement and adoption

Across all three

AI is built on the same foundations

Every AI engagement starts from a defined business decision or workflow, then draws on all three pillars: the data and context it needs, the controls around it and the way people will use it.

AI & Agentic Data Foundations

Beyond the diagnostic

From roadmap to production, at the right scale

Most work starts with a diagnostic. What follows depends on what the evidence shows.

6-8 weeks

Trusted Data Foundation Sprint

One critical source-to-decision slice, working in production. Normally one priority domain, up to three sources and one to three decision outputs, documented, tested and handed over.

For a sponsor who needs to prove the target pattern before scaling it.

Monthly, initial 3 months

Fractional Data Leadership

Senior judgement across architecture, roadmap, suppliers, controls and executive decisions, through defined monthly capacity and agreed decision forums.

For teams that need senior oversight without a full-time CDO or chief architect.

Phased

Data Modernisation Programme

A governed transformation across several domains or platforms, delivered through sequenced work packages with milestone acceptance and change control.

Begins with a paid mobilisation, then re-estimated between phases.

Implementation partners, consulting partners and primes can also bring MDA in for senior specialist data work on a defined work package or programme phase.

Not sure which fits? Start with the problem.

Start with a focused conversation