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Cloud Infrastructure TRL TRL 9

Mainframe-to-Cloud Archival Transformation

domain Client: Swiss Multinational Bank handshake Provider: Microsoft Azure schedule Deploy: 24 Months
90 Impact
Enterprise Ready
Evidence Score: 7/10
Strength: Tier 2

Executive Summary

ANALYST: COI RESEARCH

Strategic migration of massive legacy mainframe databases to a hyperscale cloud SQL environment to decouple storage from compute.

rate_review Analyst Verdict

"Critical for reducing legacy TCO; requires robust data pipelining and consistency checks. A model for handling 'cold' regulatory data."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

The institution was incurring excessively high fixed costs for maintaining on-premise Db2 mainframes, largely to store decades of historical trade and transaction data required for regulatory compliance. This data was 'cold' most of the time but required massive bursts of compute power for periodic risk modeling and regulatory reporting. The tight coupling of storage and compute on the mainframe meant the bank was paying for peak compute capacity even when the system was idle, resulting in poor unit economics.

psychology The Solution

The bank executed a strategic migration of petabytes of data to Azure SQL Database Hyperscale. This cloud-native architecture fundamentally decouples the compute layer from the storage layer. It allows the bank to maintain vast, low-cost storage for archival data while enabling them to spin up ('burst') massive compute resources on-demand only when complex risk calculations or regulatory reports need to be run. This elasticity aligns infrastructure spend directly with business activity.

settings_suggest Technical & Deployment Specs

Integrations
Mainframe (Db2), Risk Engines
Deployment Model
Public Cloud
Data Classification
Confidential
Estimated TCO / ROI
Significant reduction in hardware maintenance
POC Summary (2019-06-01 to 2019-12-01)

"Proof of concept on historical trade data."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Data Sovereignty High Swiss cloud region usage
Latency Low ExpressRoute implementation

trending_up Impact Trajectory

Audited value realization curve

60% TCO Reduction Verified Outcome
Primary KPI100% Increase in Calc Speed
Audit Cycle2 Petabytes Data Migrated

policy Compliance & Gov

  • Standards: FINMA
  • Maturity (TRL): TRL 9
  • Evidence Score: 7/10
  • Data Class: Confidential

folder_shared Verified Assets

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Verified Case Study
PDF • Version 3
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Swiss Multinational Bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-334
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-334

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