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Discover how leading financial institutions are modernising their enterprise data architecture while strengthening governance and compliance.
Legacy data architecture is limiting growth across UK financial services.
When a global financial institution faced end-of-life custody systems, regulatory pressure, and scalability challenges, they partnered with Keyrus to implement a production-grade Data Mesh architecture built for regulated environments.
99.7% data accuracy across critical domains
65% reduction in data quality incidents
80% faster detection using AI-powered monitoring
600+ governed data products across 8 business domains
98% SLA compliance for data freshness
Financial institutions today must:
Modernise legacy enterprise data platforms
Strengthen data governance and compliance
Reduce operational and third-party risk
Enable self-service analytics without losing control
Scale AI and advanced analytics securely
Traditional centralised data architectures are no longer fit for purpose.
Keyrus designed and delivered a scalable Data Mesh operating model that enables:
Domain-driven data ownership
Federated governance aligned with UK regulatory requirements
AI-powered data quality monitoring
Secure, role-based access controls
A self-service enterprise data marketplace
The result is a modern data platform that balances autonomy with control — critical for banking, asset management, and regulated industries.
By downloading the full case study, you’ll discover:
How to implement Data Mesh in a regulated financial services environment
How to reduce data incidents while improving compliance
How to enable AI-ready data with built-in governance
How to transition from legacy platforms to scalable cloud architecture
The measurable KPIs that define successful enterprise data transformation
Discover how leading financial institutions are modernising their enterprise data architecture while strengthening governance and compliance.
👉 Download the full case study now and accelerate your data transformation journey.