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Comprehensive Data Management and Analytics Platform for Tax Administration Agencies
  1. case
  2. Comprehensive Data Management and Analytics Platform for Tax Administration Agencies

Comprehensive Data Management and Analytics Platform for Tax Administration Agencies

exoft
Government

Identified Challenges in Tax Data Management and Stakeholder Interaction

The agency faces difficulties handling large volumes of tax data, automating data collection from multiple external sources, and providing taxpayers with transparent and efficient digital interactions. Limited in-house resources hinder the expansion and modernization of existing systems, leading to manual processes and inconsistent data handling.

About the Client

A regional government agency responsible for tax collection and administration, managing extensive data, and interacting with taxpayers through digital channels.

Goals for Enhancing Tax Data Processes and Digital Engagement

  • Automate data collection, processing, and management from various government and third-party sources to handle data volumes scaling up to terabytes efficiently.
  • Develop a secure, scalable web platform enabling taxpayers to access detailed tax information, submit claims, and fill amended tax returns online, improving transparency and user experience.
  • Upgrade legacy backend infrastructure to modern technologies (e.g., from outdated frameworks to current standards) to ensure maintainability, security, and performance.
  • Implement continuous integration and delivery processes supporting 24/7 deployment cycles to meet ongoing operational demands.

Core Functional Features for a Tax Data and Analytics System

  • Automated data extraction from multiple external APIs and data sources, ensuring consistent and simplified data intake.
  • Comprehensive data storage solutions supporting varied data structures and large volumes, with efficient data retrieval for analytics.
  • Backend processes for data transformation, validation, and storage, supporting seamless updates and data integrity.
  • Role-based user interfaces for taxpayers to view tax history, estimated payments, and submit claims electronically.
  • Tools for searching historical tax returns and viewing analytic reports on tax trends and compliance.

Preferred Technologies and Architectural Approaches for Implementation

Modern backend frameworks such as .NET 6 or higher, supporting scalable API development.
C programming language for backend data processing components where applicable.
Frontend frameworks such as Angular, React.js, or similar to create responsive, user-friendly interfaces.
Databases supporting large data volumes and efficient querying, including Entity Framework or equivalent ORM tools.

Essential External System Integrations

  • APIs for government and third-party data sources for automated data ingestion.
  • Secure methods for data transfer and submission from external entities.
  • Reporting tools and analytics platforms to generate insights for internal stakeholders.

Critical Non-Functional System Attributes

  • System capable of handling data volumes in the terabyte range with high throughput.
  • Reliable system uptime supporting 24/7 operations with minimal latency.
  • Robust security measures to protect sensitive tax data and ensure compliance with data privacy regulations.
  • Scalable architecture to support future expansion to additional regions or data sources.

Projected Business Benefits and Operational Improvements

The implementation of an automated, scalable data management and digital engagement platform will digitize paperwork, streamline data workflows, and improve taxpayer transparency—leading to increased efficiency, reduced manual errors, and enhanced stakeholder satisfaction. Expected improvements include handling large data volumes seamlessly and providing modern digital services that foster trust and compliance among taxpayers.

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