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Development of an Automated License Monitoring and Data Management Platform for Regulatory Compliance
  1. case
  2. Development of an Automated License Monitoring and Data Management Platform for Regulatory Compliance

Development of an Automated License Monitoring and Data Management Platform for Regulatory Compliance

wesoftyou.com
Government
Legal
Public Administration

Challenges in Regulatory License Data Management and Enforcement

The client faces difficulties in managing vast amounts of license and sales data across numerous trading points, experiencing inefficiencies in data normalization, duplicate detection, and change tracking. They require a system that facilitates efficient data collection, filtering, and reporting to improve enforcement and compliance accuracy while supporting accessibility standards for diverse user groups.

About the Client

A state government agency responsible for monitoring and enforcing compliance with local regulations regarding commercial licensing and sales, seeking a comprehensive digital platform to streamline data management, monitoring, and enforcement activities.

Goals for an Enhanced Licensing and Compliance Management System

  • Develop a fully revamped web platform with modern frontend and backend architectures to replace existing legacy systems.
  • Automate the import, normalization, and merging of data from multiple sources to improve data accuracy and reduce manual effort.
  • Implement tools for real-time data monitoring, filtering, and change tracking, supporting compliance audits and enforcement activities.
  • Enable geolocation of trading points with map overlays for spatial analysis.
  • Create a user-specific dashboard tailored for different stakeholder roles with relevant data views and controls.
  • Ensure system scalability to support concurrent usage of up to 100 users.
  • Implement accessibility features aligned with ADA standards to promote inclusivity.

Core Functional Specifications for License Tracking and Data Management Platform

  • Data Import and Export Module: Automates data collection from diverse sources with resilient import/export processes ensuring data integrity even during interruptions.
  • Filtering and Search System: Enables advanced sorting, filtering, and query capabilities for license and trading point data.
  • Duplicate Detection and Data Normalization: Identifies and manages duplicates; tracks changes such as name modifications or trading point transitions.
  • Automated Data Management: Supports automatic updates of retailer information and license status changes.
  • Geolocation with Map Overlays: Visualizes retailer locations with customizable layers such as jurisdictions and reference maps.
  • User Dashboard: Provides personalized views with relevant data blocks tailored to user roles.
  • Reporting Module: Facilitates generation of detailed reports with selectable filters, displaying calculated data seamlessly.
  • Accessibility Support: Ensures the platform meets ADA standards, including features like zoomability and screen reader compatibility.
  • Concurrency Support: Handles simultaneous users without performance degradation, supporting up to 100 concurrent sessions.

Recommended Technologies and Architectural Approaches

Backend: Python with Django framework, Celery for task management, AWS infrastructure including EC2, RDS, S3.
Frontend: React with Redux, Styled-components, Docker containers, nginx server.
Database Systems: PostgreSQL with Redis for caching and real-time updates.
Deployment Environment: Cloud-based hosting with AWS services for scalability and reliability.

Necessary External System Integrations

  • Data sources for importing licensing and retailer information.
  • Mapping services for geolocation and map overlays.
  • Authentication and authorization systems as per organizational policies.
  • Reporting tools or export services for data sharing.

Critical Non-Functional System Requirements

  • Performance: Support a load of at least 100 concurrent users with minimal latency.
  • Scalability: Design for future expansion in data volume and user base.
  • Accessibility: Full ADA compliance with features like high-contrast modes, zoom support, screen reader compatibility.
  • Browser Compatibility: Fully functional across modern browsers including Chrome, Firefox, Safari, and older versions of Internet Explorer.
  • Reliability: System uptime of at least 99.5% with robust backup and disaster recovery strategies.
  • Security: Secure data handling with role-based access controls and compliance with data privacy standards.

Projected Benefits and Business Impact of the New Platform

The implementation of the new license monitoring and data management platform is expected to significantly enhance data accuracy and consistency through automation, reduce manual workload, and improve enforcement efficiency. The system’s geolocation and filtering features will facilitate targeted investigations, leading to more effective compliance. Accessibility features will ensure inclusivity for diverse user groups. Overall, these improvements aim to enable the client to manage licensing data more effectively, support compliance initiatives, and optimize enforcement efforts across the jurisdiction.

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