Scalable Geospatial Data Platform Modernization for Enhanced User Engagement and Enterprise Integration

The client’s legacy system restricts platform scalability, hampers user engagement due to outdated UI/UX, lacks multilingual support for ISC compliance, and impedes rapid feature deployment. Additionally, integration of analytical tools is unreliable, and the system does not support white labeling for enterprise clients, limiting business growth. Performance issues with large geospatial datasets further degrade user experience, compounded by limited internal technical resources for ongoing maintenance.

A mid-sized technology company specializing in satellite imagery and earth observation data services, seeking to modernize their platform to improve scalability, user experience, and enterprise offerings.

• Achieve a 7x increase in monthly active users through platform modernization and improved user experience.
• Reduce customer acquisition costs by 10x via streamlined onboarding and customization capabilities.
• Shorten development cycles by 50% for faster feature releases and enterprise onboarding.
• Ensure 100% compliance with relevant regulations, incorporating multilingual support (English and French).
• Enhance performance in processing and rendering large geospatial datasets, decreasing load times and improving responsiveness.
• Implement secure, scalable API integrations with analytics and support tools, ensuring reliable event tracking and third-party interactions.
• Enable white labeling for enterprise clients to facilitate branding customization and expand high-value B2B contracts.

• Modern UI/UX design for improved usability and user adoption.
• Shared codebase architecture enabling independent feature rollout and consistent experience.
• Multilingual support infrastructure automating translations (e.g., via translation management tools).
• Server-side rendering (SSR) with cloud deployment (e.g., AWS Lambda@Edge) for low latency and SEO optimization.
• Efficient streaming of high-resolution geospatial imagery (e.g., using Cloud-Optimized GeoTIFFs).
• Frontend-based large file handling with zip streaming for fast download and processing.
• Interactive map and table views with synchronized filtering and selection capabilities.
• Robust security policies, including CSP, API protection, and secure key management.
• CI/CD pipelines for automatic deployment and code quality enforcement.

• Analytics platforms (e.g., Mixpanel) for user behavior tracking
• Customer support tools (e.g., support ticket systems like Zendesk)
• CRM systems for customer insights (e.g., HubSpot)
• Translation management platforms for multilingual support

• System scalability to support up to 7x increase in active users
• Performance targets: fast load times, sub-second map rendering, and responsive UI
• Security measures including CSP and secure API access
• High availability and fault tolerance with cloud deployment
• Automated CI/CD pipelines ensuring rapid and reliable feature deployment

The project aims to significantly boost user engagement, achieving a 7x increase in monthly active users, and reduce customer acquisition costs by 10x through enhanced onboarding and customization. Development efficiency is expected to improve by 50%, enabling quicker deployment of features and enterprise integrations. Compliance with ISC multilingual requirements will open new revenue streams, especially in government sectors. Performance enhancements will ensure smoother handling of large datasets, providing a competitive edge in geospatial data services and fostering expanded enterprise and governmental collaborations.