Data Transformation & Governance | Case Study

The opportunity

Disparate multi-cloud data operations across seven airlines

Modernise the client’s disparate multi-cloud data operations across seven global airlines to enable AI and scale analytics.
Each operating brand held its own data estate, governance approach and compliance posture, making group-level assurance impossible and AI readiness unachievable.

What we delivered

Federated governance, cloud-first platform

Unified data strategy and governance. Defined and executed a group-wide data strategy, aligning with a £2bn+ enterprise digital transformation portfolio, data ethics and AI enablement across seven operating airlines.
Federated governance framework. Delivered a GDPR and DPA-compliant framework, reducing audit risk and data breach exposure by 40% through unified governance controls, metadata management and ESG standards integration across all entities.
Cloud data platform modernisation. Architected a cloud-first data platform on Azure and AWS, embedding privacy-by-design, scalable analytics and ML integration. This established federated governance and AI-ready data platforms across all seven brands and enabled 60% faster onboarding for analytics projects via standardised cloud data services.
Enterprise architecture oversight. Chaired group Data and Architecture Boards, ensuring every digital initiative aligned with data security and compliance standards.
AI and risk alignment. Partnered with the C-suite and funding boards to connect data investment decisions with AI strategy, business risk reduction and demonstrable return on investment.

The outcome

Group-wide compliance, and a foundation AI can build on

Secured group-wide data protection compliance across all seven airline brands by defining and delivering a data strategy that explicitly aligned multi-million-pound investments with stringent regulatory standards, including GDPR and the DPA.
Established a robust, federated data governance framework foundational to managing sensitive data, mitigating operational risk and enabling advanced AI readiness under strict corporate data protection protocols.

Data strategyFederated governanceGDPR / DPACloud data platformPrivacy by designAI enablementESGMetadata management

AI Governance & Assurance

AI defensibility reviews, readiness discovery, AI risk frameworks, secure operating models and fractional ISO.

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Cloud Security & Software Engineering

Managed cloud security, secure DevOps and code control, CI/CD, technical modernisation and secure migration.

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The next step

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References available at C-suite level on request.