Modernizing Geospatial Data Management Platform with a Vue.js Frontend

The client relies on an outdated server-side CMS to manage their web application, limiting flexibility, scalability, and user experience. They require a robust, maintainable, and scalable client-side application capable of supporting complex logic and seamless integration with a microservice backend. Additionally, the outdated UI does not meet current user expectations or the company's branding standards, hindering user engagement and operational efficiency.

A mid-sized GIS solutions provider delivering drone-based data collection and geospatial analysis tools for various sectors such as surveying, agriculture, and humanitarian aid.

• Replace the legacy server-side CMS with a modern, client-side application built using a contemporary JavaScript framework.
• Ensure high-quality code with comprehensive unit testing to support long-term scalability and maintainability.
• Update user interfaces to align with current design standards and the company's visual identity, improving user engagement.
• Develop a reusable component architecture to enable multiple application instances from shared components.
• Integrate the new front end seamlessly with a microservice backend architecture.
• Complete the project within a 14-week timeframe, maintaining high development efficiency and meeting all requirements.

• A scalable, modular architecture employing a shared component library for efficient UI development.
• User authentication and management system with role-based access control.
• Integration with a microservice backend to support data fetching, processing, and analysis functions.
• Real-time data visualization of geospatial and drone-collected data.
• An intuitive, modern UI matching current design trends and branding guidelines.
• Extensive unit and integration testing with a focus on code robustness and long-term maintainability.

• Backend microservices for data retrieval and processing
• User authentication and authorization systems
• Geospatial data visualization tools or APIs

• High scalability to support increasing data volume and user load
• Fast load times and responsive UI for optimal user experience
• High code quality with comprehensive unit test coverage (>80%)
• Maintainability and ease of future feature additions
• Secure handling of sensitive data and user information

The new frontend solution aims to significantly improve user engagement and operational efficiency by providing a modern, reliable, and scalable platform. Anticipated results include enhanced user satisfaction, streamlined data management processes, and improved system maintainability, supporting future growth and feature expansion.