Legacy Modernization & Data Normalization

Translation and normalization layer across all transaction systems. Consistent customer/merchant IDs, codes and formats bank-wide.

Overall Quality Score
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Active Rules
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Records Processed
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Records Failed
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Total Normalized
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Normalization Success Rate
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Total Formats Processed
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Legacy Systems Connected
7
Business Problem

Legacy COBOL cores run alongside modern APIs/mobile apps. IDs and formats differ — analytics, reconciliation and reporting are unreliable.

Eliminating a small 1-2% failure rate in payment/clearing file processing prevents thousands of failed transactions per day, improving customer trust and reducing back-office cost.

Impacted Stakeholders
COO CIO/CTO Architecture Data Office
Business Outcomes
Acts as the translation and normalization layer across all transaction systems
Ensures consistent customer/merchant IDs, codes and formats bank-wide
Reduces failed settlements and manual investigation work
Data Quality Rules — Pass Rate
How It Works
1Ingests data from any source, any format (batch files, real-time events, Excel/CSV, external processors)
2Applies conversion, validation, correlation & duplicate-detection rules centrally
3Publishes clean, standardized data to cores, billing, analytics, risk, and data lakes
Transactions by Source
Transactions by Channel/Format
Quality by Rule Type (Avg Pass Rate %)
Normalization Volume by Source System
Data Flow — Legacy to Modern Translation
Legacy Systems
COBOL, Fixed-Width, ISO 8583
Data Manager
Canonical Model Translation
Modern APIs
JSON, REST, ISO 20022
Analytics & BI
Data Lake, Risk, Reports
Normalization by Source Format
Normalization by Type
Success Rate by Source
AI Deep Analysis — Data Quality GPT-4.1

AI is analyzing data quality metrics...

Data Quality Rules
Rule Name Type Source Processed Failed Pass Rate
AI
AI Analyst

Welcome to the Data Manager AI Analyst. I can help you with:

  • Revenue leakage analysis & recovery strategies
  • Fraud pattern detection insights
  • Compliance & AML risk assessment
  • Data quality recommendations
  • Executive-level briefings

Ask me anything about your banking data platform.