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Case-Study

Fortune-100 Retailer: Modernizing the Enterprise Operating Model for a Cloud-Native Demerger.

Unolabs engineered the sovereign cloud data platform and secure separation protocols required for a Fortune-100 retail demerger, delivering $2.5M in savings and an agentic-ready foundation.

Insight at a glance

A concise view of impact and engineering focus.

Outcome

$2.5M migration savings

Outcome

Sovereign AI Residency

Outcome

Agentic-Ready Foundation

Section 1

Strategic Demerger & Architectural Separation

A Fortune-100 retailer needed to execute a mission-critical separation from its parent organization while preserving the structural integrity of its customer, product, and supply chain intelligence. Legacy architectural fragmentation and disconnected data ownership threatened both the cutover timeline and the firm's long-term operational resilience.

Engineering note

This section explains the practical engineering implications and why the pattern matters for enterprise delivery.

Section 2

The 5-Step Transformation Architecture

We engineered the separation as a governed architectural product. The program integrated discovery, audit, target state architecture, migration sequencing, and automated governance to ensure every enterprise asset and dependency was mapped prior to cutover.

  • Sovereign cloud platform design using Azure Lakehouse architecture
  • Automated Infrastructure-as-Code for repeatable modernization environments
  • Governed data pipelines for customer, product, and operational intelligence
  • Advanced RBAC and domain-scoped separation policies for the new entity
  • Continuous governance framework ensuring auditable and resilient cutover
Engineering note

This section explains the practical engineering implications and why the pattern matters for enterprise delivery.

Section 3

Governed Architecture for Operational Insight

The target state delivered a secure, domain-oriented intelligence platform supporting both advisory and operational teams. By aligning data ownership, metadata standards, and security guardrails, the new retail entity launched with reliable analytics and agentic-ready datasets.

Engineering note

This section explains the practical engineering implications and why the pattern matters for enterprise delivery.

Section 4

Outcome: An Autonomous Retail Ecosystem

The engagement delivered a multi-terabyte cloud transformation on schedule, £2.5M in validated migration savings, and a demerger-ready sovereign data foundation. This architecture now supports agentic reasoning loops for demand planning and autonomous freight negotiation, turning a structural split into a competitive advantage.

Engineering note

This section explains the practical engineering implications and why the pattern matters for enterprise delivery.

Case Study Architecture

Technical blueprint of the solution

This diagram visualizes the core architectural pattern, data flows, and security boundaries implemented during this engagement.

Demerger Separation Engine
SPLIT_MIG_V4
[Source Monolith] → [Entitlement Filter] → [Entity-Scoped Landing] ↑ ↓ ↓ [Cutover Sync] ← [Delta Reconciliation] ← [Domain Separation Metadata-Driven Ingestion Factory] ↑ ↓ ↓ [New Entity BI] ← [Identity Mapping] ← [Governance Handover]
Key Takeaways

What to carry into the next sprint

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Takeaway

Make data separation an engineered platform deliverable, not an afterthought.

Takeaway

Secure pipelines and governance are the foundation of any enterprise demerger.

Takeaway

A cloud-ready lakehouse exposes analytics and AI while preserving compliance.

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