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Automated Financial Data Integration and Reporting Platform for Banking Institutions
  1. case
  2. Automated Financial Data Integration and Reporting Platform for Banking Institutions

Automated Financial Data Integration and Reporting Platform for Banking Institutions

atta.systems
Financial services

Challenges in Scaling and Securing Financial Data Reporting Processes

The client faces difficulties in scaling their manual and semi-automated processes for producing monthly effective interest rate (EIR) reports. Challenges include managing large volumes of sensitive financial data securely, ensuring compliance with regulatory standards, integrating with existing banking infrastructure, and providing an intuitive interface for banking personnel to perform complex calculations efficiently. Existing solutions lack scalability and automation, hindering operational efficiency and reporting accuracy.

About the Client

A mid to large-sized banking institution seeking to automate and enhance the accuracy of its financial reporting processes, particularly for effective interest rate calculations across extensive client portfolios.

Goals for Automating and Securing Financial Data Reporting

  • Develop a secure, web-based platform that seamlessly integrates with the bank’s existing data sources and infrastructure.
  • Automate the collection, processing, and generation of monthly effective interest rate reports for extensive client portfolios exceeding €5 billion in total assets.
  • Support the generation of aggregated and individual client reports, accessible online and exportable in standard formats (CSV, XLS).
  • Ensure security compliance, auditability, and data integrity for sensitive financial information.
  • Enhance operational efficiency, reducing manual effort and errors in financial reporting processes.
  • Enable bank personnel to run monthly EIR calculations efficiently through an intuitive user interface with secure login via integration (e.g., LDAP).

Core Functional Capabilities for Financial Data Automation System

  • Secure web-based platform accessible within the bank’s infrastructure.
  • Seamless integration with existing data sources and directory services (e.g., LDAP).
  • Automated data aggregation and processing for large client portfolios.
  • Generation of multiple report formats (CSV, XLS) for both collective and individual client data.
  • Role-based user authentication and access logging for audit purposes.
  • Responsive web interface with intuitive user flows for running calculations and viewing reports.
  • Capability to perform monthly EIR calculations with high accuracy and reliability.

Preferred Technical Stack and Architectural Approaches

Java with Spring Framework for backend development.
Angular or similar modern web framework for frontend development.
Big Data processing and ETL capabilities for handling high-volume data.
Security protocols to safeguard sensitive financial data.
Deployment orchestration via DevOps practices ensuring scalability and reliability.
Audit logging and compliance frameworks integrated into the system architecture.

Necessary External System Integrations

  • Bank’s existing data sources for financial and client data.
  • LDAP or comparable directory service for user authentication.
  • Existing banking infrastructure for secure data exchange.
  • Reporting external tools or formats for exporting reports.

Critical Non-Functional System Requirements

  • Scalability to manage data volumes exceeding €5 billion in assets and hundreds of thousands of clients.
  • High performance with responsive processing times even during peak periods.
  • Security measures to protect sensitive financial data, including encryption and audit trails.
  • Availability targets close to 99.9% uptime for continuous operations.
  • Compliance with financial data security standards and regulations.
  • Robust testing, including stress and scenario tests, to ensure accuracy and system reliability.

Projected Business Benefits and System Impact

The implementation of this automated data integration and reporting platform is expected to significantly improve operational efficiency by automating complex interest rate calculations, reducing manual effort and errors, and ensuring compliance with regulatory standards. The solution aims to support the management of portfolios exceeding €5 billion and over 500,000 clients, leading to more accurate, timely, and auditable financial reports. The system's scalability and security features will enable the bank to handle future growth and regulatory changes effectively.

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