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Development of a Secure Tax Report Generation and Legal Entity Management Platform
  1. case
  2. Development of a Secure Tax Report Generation and Legal Entity Management Platform

Development of a Secure Tax Report Generation and Legal Entity Management Platform

brainhub.eu
Financial services
Legal
Business services

Identified Challenges in Tax and Legal Data Management for Large Organizations

The client faces difficulties with legacy tax reporting systems that are outdated, difficult to maintain, and lack scalability. They need a modern, high-performance platform capable of handling massive data volumes, complex rules based on diverse jurisdictional regulations, and rigorous security standards. Additionally, the client struggles with fragmented data sources, inconsistent reports, and role-based access control across a global organizational structure.

About the Client

A large, multinational corporation managing complex tax reporting and legal entity data across multiple jurisdictions, requiring reliable, scalable, and secure software solutions.

Goals for a Robust, Scalable Tax and Legal Entity Management System

  • Develop a comprehensive platform to automate and accurately generate tax reports for multiple jurisdictions, supporting current and deferred tax calculations.
  • Migrate and modernize existing legacy systems to a scalable, maintainable technology stack, reducing operational costs and enhancing development speed.
  • Implement a secure, multi-tenant architecture that isolates sensitive client data and ensures compliance with security standards.
  • Enable customizable rules and filters for nuanced report generation, aligned with diverse regional regulations.
  • Create an intuitive admin interface for dynamic rule management, user roles, and permission assignments.
  • Ensure high system performance, capable of processing large data volumes efficiently, with seamless integration capabilities.

Core Functional Specifications for the Tax and Legal Entity Management Platform

  • Data upload support for Excel and various formats to facilitate input simplicity.
  • Rule configuration interface that allows creation, modification, and application of jurisdiction-specific tax regulations.
  • Automated generation of tax reports with advanced filtering options (e.g., by country, state, legal entity).
  • Export functionality for reports in Excel format for stakeholder sharing.
  • Migration of legacy systems to modern technologies with comprehensive business logic rewriting.
  • Multi-tenant data architecture ensuring data security and separation for multiple clients.
  • Role-based permissions and access control for detailed user management.
  • Scalable infrastructure optimized for processing large datasets efficiently.

Preferred Technology Stack and System Architecture

Node.js for backend development
React for frontend interface
Modern cloud infrastructure for scalability and security
Multitenancy architecture with isolated databases for data security

Necessary External System Integrations

  • External data sources (e.g., Excel, CSV, other formats) for data input
  • Regulatory databases or APIs for jurisdiction-specific tax rules
  • Secure sharing tools for report dissemination

Non-Functional Requirements for System Performance and Security

  • Support for processing large volumes of data with minimal latency
  • High availability and fault tolerance to ensure system reliability
  • Data security compliance, including role-based access and data isolation
  • Scalability to accommodate the growth of data and user base
  • Maintainability and support for future feature expansion

Expected Business Impact of the Tax and Legal Data Management System

The new platform is expected to significantly improve reporting accuracy and compliance, reduce operational costs associated with legacy systems, and accelerate report generation processes. By modernizing data handling and security infrastructure, the client aims to enhance trust with stakeholders, ensure regulatory compliance, and support scalable growth across multiple jurisdictions.

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