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Enterprise-Wide Data Migration and Validation System for Financial Institutions
  1. case
  2. Enterprise-Wide Data Migration and Validation System for Financial Institutions

Enterprise-Wide Data Migration and Validation System for Financial Institutions

itmagination.com
Financial services
Banking
Loans & Credit

Data Management Challenges in Large-Scale Banking Operations

The organization faces difficulties in consolidating data from multiple legacy systems, ensuring data quality, and maintaining accurate financial records across diverse product lines such as loans and credit cards. These challenges impact operational efficiency, compliance, and strategic decision-making during system migrations.

About the Client

A large banking institution managing extensive customer, loan, and credit card portfolios across multiple regions, seeking to centralize and validate its data infrastructure.

Goals for Accurate and Efficient Banking Data Migration

  • Successfully migrate over 4 billion records related to finance products, clients, and debt collection data with minimal data rejection (target fewer than 20 rejected records).
  • Ensure high data integrity between source and target systems, maintaining a minimal overall balance sheet difference (target within a few hundred thousand currency units).
  • Develop real-time, online dashboards providing detailed migration reports and validation metrics during the migration process.
  • Implement robust data transformation, validation, reconciliation, and reporting mechanisms to facilitate smooth system integration within a constrained timeline of approximately 13 months.

Core Functionalities for Banking Data Migration System

  • Data transformation engine capable of converting heterogeneous source data into a unified schema.
  • Control over the ETL (Extract, Transform, Load) process ensuring accuracy, completeness, and consistency.
  • Real-time validation and reconciliation modules generating over 650 online reports for migration quality assessment.
  • A dedicated web-based dashboard providing live access to migration status, data quality metrics, and reconciliation reports.
  • Support for multiple migratory flows from various source systems into a set of target systems, ensuring data integrity and auditability.

Technological Foundations for Data Migration and Validation

Relational Database Management Systems (e.g., Microsoft SQL Server)
ETL control and migration orchestration tools
Web-based dashboard interfaces for real-time reporting
Automated data validation and reconciliation tools

System Integrations for Seamless Data Migration

  • Legacy banking systems and data sources for extraction
  • Centralized target banking database for data loading
  • Real-time validation modules and dashboards
  • Reporting systems for migration auditing and monitoring

Critical Non-Functional Aspects for System Performance

  • High scalability to handle over 4 billion records across 18 migratory flows
  • Excellent performance to complete migration within approximately 13 months
  • Data security and compliance with banking standards
  • Minimal data rejection rate (target less than 20 records rejected)
  • Accurate data reconciliation with a total balance sheet difference within a few hundred thousand currency units

Expected Business Benefits of the Data Migration Initiative

The successful execution of this data migration project is expected to enable the client to achieve a high level of data integrity across their financial systems, significantly reduce manual reconciliation efforts, and ensure compliance with regulatory standards. The project aims to accurately migrate over 4 billion records with a minimal balance sheet discrepancy, thereby enhancing operational efficiency and supporting strategic decision-making.

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