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Modern Cloud-Based Data Module for Pension and Insurance Industry Optimization
  1. case
  2. Modern Cloud-Based Data Module for Pension and Insurance Industry Optimization

Modern Cloud-Based Data Module for Pension and Insurance Industry Optimization

haefelesoftware.com
Financial services

Challenges in Legacy System Modernization and Data Accuracy for Financial Data Management

The client faces significant challenges with outdated legacy software systems that hinder efficient data management and increase operational risks. Limited internal technical expertise and resource constraints impede the development and integration of modern data solutions, impacting their ability to deliver high-quality, accurate data services for pension and insurance clients. Additionally, integrating new features within existing frameworks is complex, leading to delays and increased costs.

About the Client

A mid-sized financial consultancy specializing in pension and insurance data management, seeking to modernize legacy systems and enhance data accuracy for client reporting and compliance.

Goals for Developing a Scalable, Modern Data Management Module

  • Develop a new, scalable cloud-based data module to replace outdated legacy systems, improving maintenance and operational efficiency.
  • Enhance data accuracy and consistency to support regulatory compliance, client reporting, and emerging pension dashboards.
  • Reduce system downtime and performance bottlenecks through adoption of modern technologies and architecture.
  • Enable seamless integration with existing applications and internal workflows to facilitate smooth migration.
  • Support future feature expansion, including real-time data processing and advanced analytics capabilities.
  • Achieve measurable improvements in data quality, system uptime, and operational cost savings.

Core Functional Specifications for the New Data Module

  • Modernized architecture built on cloud infrastructure for scalability and resilience.
  • User authentication and authorization integrated with cloud security protocols.
  • Data ingestion mechanisms supporting various data sources with validation and cleaning processes.
  • Robust database system supporting high-volume transactions with optimized performance.
  • API endpoints for secure data access and integration with other enterprise systems.
  • Audit logs and monitoring tools for ongoing system health and compliance.
  • Support for incremental data updates and real-time synchronization capabilities.

Preferred Technology Stack and Architectural Approaches

Cloud infrastructure platform (e.g., AWS or equivalent)
Application development using modern frameworks (e.g., React for frontend, Node.js or equivalent for backend)
Database system based on PostgreSQL or similar relational database
Secure authentication via cloud identity management (e.g., AWS Cognito or equivalent)

Necessary System Integrations

  • Existing internal applications requiring data connectivity
  • Client-facing dashboards for pension data visualization
  • External compliance and reporting tools
  • Authentication and security services

Non-Functional System Requirements

  • System scalability to support a growing dataset and user base
  • High performance to ensure minimal latency in data retrieval and processing
  • Strong security measures to protect sensitive financial and personal data
  • Reliable system uptime and disaster recovery capabilities
  • Maintainability and ease of future feature extensions

Expected Business Benefits and Impact of the Data Module

The implementation of the new cloud-based data management module aims to significantly improve data accuracy and system reliability, supporting compliance with financial regulations and enabling the deployment of advanced pension dashboards. Anticipated outcomes include reduced operational costs through decommissioning legacy systems, enhanced performance and scalability, and improved client satisfaction by delivering high-quality, timely data insights for pension and insurance services.

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