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Banking verified Verified Outcome TRL 9

BCBS 239 Risk Data Aggregation

domain Client: A multinational banking and financial services company handshake Provider: Informatica / Internal schedule Deploy: Q1 2020 (Compliance)
87 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

To meet stringent BCBS 239 regulations, the bank overhauled its data governance framework. They implemented end-to-end data lineage tools to track risk data from the point of origination (transaction systems) to the final regulatory report. This ensured accuracy, completeness, and timeliness of risk reporting during stress tests.

rate_review Analyst Verdict

"Regulatory compliance as a driver for modernization. While forced by the regulator, the investment in lineage and dictionaries moved the bank from manual spreadsheet aggregation (high risk) to automated, governed pipelines, reducing operational risk beyond just compliance."

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

warning The Challenge

During the 2008 crisis, banks couldn't aggregate their risk exposure quickly because data was hidden in spreadsheets and legacy systems with no common definitions. Regulators (Basel Committee) mandated that G-SIBs must have fully governed, automated risk data architectures.

psychology The Solution

The bank implemented a Data Management Framework. They used Informatica to map the lineage of Critical Data Elements (CDEs). They established a Data Quality Forum to monitor KPIs (e.g., completeness of counterparty codes) and remediate issues at the source.

settings_suggest Technical & Deployment Specs

Integrations
Core Banking, Risk Engines
Deployment Model
On-Prem / Cloud
Data Classification
Financial Risk
Estimated TCO / ROI
High
POC Summary (2016-01-01 to 2019-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Lineage Decay High Automated lineage extraction from ETL tools rather than manual documentation.
Cost of Compliance Medium Leveraging same data for commercial analytics.

trending_up Impact Trajectory

Audited value realization curve

Mapping of thousands of Critical Data Elements (CDEs) Verified Outcome
Primary KPIReduction in manual adjustments to reports
Audit CycleCompliance audit pass

policy Compliance & Gov

  • Standards: BCBS 239
  • Maturity (TRL): 9
  • Evidence Score: 4/10
  • 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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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A multinational banking and financial services company without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-870
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-870

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