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Legacy System Modernization for Environmental Data Management and Scheduling Platform
  1. case
  2. Legacy System Modernization for Environmental Data Management and Scheduling Platform

Legacy System Modernization for Environmental Data Management and Scheduling Platform

instinctools.com
Environmental
Logistics
Supply Chain

Identified Challenges in Legacy Data and Request Management

The client faced difficulties with building complex database queries, experienced performance issues under multiple requests, lacked sufficient access control via IP restrictions, required synchronization with external databases, and needed advanced data visualization and scheduling functionalities. These limitations hindered operational efficiency and data security in their environmental services and logistics processes.

About the Client

A mid-sized environmental services company specializing in data collection, analysis, and logistics for environmental projects, requiring scalable and secure data handling and scheduling solutions.

Goals for Enhancing Data Management, Security, and Scheduling

  • Implement a flexible query construction mechanism to enable complex database queries with ease.
  • Optimize system performance to ensure responsiveness under high request loads through caching and backend enhancements.
  • Establish secure access controls by implementing IP-based request filtering and role-based permissions.
  • Enable synchronization of data across multiple internal and external databases for comprehensive data consistency.
  • Develop interactive data visualization features, including graph generation based on processed data.
  • Design and implement an electronic scheduling system for reserving operational equipment and transportation slots, managing overlaps, and suggesting available time slots.
  • Create shared services for email notifications and automate workflow processes.
  • Allow role-based user access, history tracking of data changes, and report generation to support operational transparency.

Core Functional System Features and Capabilities

  • Advanced database query builder with support for complex queries (e.g., filtering, sorting, joining).
  • Performance optimization using caching mechanisms for handling multiple concurrent requests.
  • Request interception and filtering based on IP whitelisting and role-based access controls.
  • Data synchronization modules interfacing with external databases and data sources.
  • Interactive graph and chart modules for visualizing data trends (e.g., shipment frequency, volume over time).
  • An electronic scheduling system allowing reservations for equipment, trucks, and other resources with visual status indicators and automatic conflict resolution.
  • Automated email notification service with history logs.
  • Role-based access control, audit logs, and report generation tools.
  • Data import/export capabilities to external terminals and databases.
  • Simulated login functionalities for administrative testing and user management.

Preferred Technologies for System Architecture and Development

Java-based backend architecture
Angular or modern JavaScript frameworks for frontend development
MySQL for database management
Chart.js or similar libraries for data visualization
Caching strategies such as in-memory caches
Role-based authentication and LDAP integration for user data
Build automation tools like Gradle
Reporting tools like JasperReports

External Systems and Data Source Integrations

  • External databases for data synchronization and reporting
  • LDAP directory services for user authentication and data access
  • Email servers for notifications
  • External sensors or terminal interfaces for real-time data exchange

Critical Non-Functional System Requirements

  • System scalability to handle increasing data volume and user requests
  • Response time under high load: system should efficiently manage multiple concurrent requests with minimal latency
  • Data security including IP filtering and role-based access control
  • Availability and uptime targets (e.g., 99.9%)
  • Maintainability and ease of updates for system components
  • User-friendly interfaces for scheduling and data visualization

Anticipated Business Benefits and System Outcomes

The implementation of the modernized system is expected to significantly increase operational efficiency by enabling complex query handling, reducing system response times, enhancing security through controlled access, and providing real-time data visualization. The scheduling module improves resource utilization and user convenience. Overall, these improvements will lead to better decision-making, streamlined logistics, and scalable growth for the organization.

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