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Banking verified Verified Outcome TRL 9

Decentralized Risk Data Mesh

domain Client: A major Australian retail and investment bank handshake Provider: AWS / Internal schedule Deploy: Q1 2022 (Review)
92 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

To improve regulatory reporting agility, the bank moved from a monolithic warehouse to a mesh architecture. Risk and Finance teams act as domain owners, publishing certified 'Regulatory Data Products'. This decoupling allows the bank to swap out underlying source systems without breaking the regulatory reporting layer.

rate_review Analyst Verdict

"Regulatory compliance through modularity. By treating 'Risk Data' as a product with a contract (schema), the bank insulated its critical reporting functions from the churn of upstream IT modernization. It turns compliance data from a burden into a reusable asset."

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

warning The Challenge

Regulatory reporting (APRA) was fragile. Changes in upstream banking systems often broke downstream risk reports, leading to manual workarounds and compliance risks. The central data team was a bottleneck for validating data quality.

psychology The Solution

The bank implemented a Data Mesh on AWS. Domain teams (e.g., Mortgages) are responsible for exposing their data via standardized APIs/Streams with guaranteed quality. The Risk team consumes these products to build their reports. Access is governed via a central policy engine.

settings_suggest Technical & Deployment Specs

Integrations
Core Banking, AWS S3
Deployment Model
Public Cloud
Data Classification
Financial Risk
Estimated TCO / ROI
Medium
POC Summary (2020-01-01 to 2021-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Governance Enforcement Medium Automated quality gates in CI/CD pipelines.
Complexity Medium Standardized 'Data Product Blueprint' templates.

trending_up Impact Trajectory

Audited value realization curve

100% cloud-native risk reporting Verified Outcome
Primary KPIReduction in manual data remediation
Audit CycleFaster onboarding of new data sources

policy Compliance & Gov

  • Standards: APRA (Australia)
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Financial Risk

folder_shared Verified Assets

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Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for A major Australian retail and investment bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-904
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-904

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