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Modernization of Climate Risk Analytics Platform with Enhanced UX/UI and Performance Optimization
  1. case
  2. Modernization of Climate Risk Analytics Platform with Enhanced UX/UI and Performance Optimization

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Modernization of Climate Risk Analytics Platform with Enhanced UX/UI and Performance Optimization

door3.com
Environmental Services
Information technology
Financial services

Current Platform Limitations

Legacy frontend architecture causing performance bottlenecks, inconsistent data visualization patterns reducing analytical effectiveness, outdated UI patterns limiting user engagement, and lack of scalable design system hindering feature development velocity.

About the Client

Climate risk analytics provider specializing in portfolio and asset-level physical climate risk modeling for enterprise clients

Strategic Enhancement Goals

  • Establish new industry benchmark for climate risk analytics UX
  • Achieve 40% improvement in application performance metrics
  • Implement scalable design system for enterprise-grade data visualization
  • Modernize technology stack for future feature scalability
  • Improve user workflow efficiency for risk analysts by 30%

Core System Capabilities

  • Tabular dashboard with dynamic data filtering
  • Interactive geospatial visualization using Mapbox
  • Modular UI components with Material UI integration
  • Progressive data loading with React Query caching
  • Role-based access control with Auth0 authentication

Technology Stack Requirements

React.js
Material UI
Mapbox
React Query
Auth0
TypeScript

System Integration Needs

  • Climate data APIs
  • Enterprise SSO systems
  • Cloud-native deployment environments

Operational Requirements

  • Sub-2s page load times
  • WCAG 2.1 accessibility compliance
  • 99.9% system availability
  • Horizontal scalability for 10k+ concurrent users

Business Value Projections

Position Jupiter Intelligence as market leader in climate risk analytics through enhanced user adoption (25% increase), reduced client onboarding time (40% reduction), and accelerated feature delivery (50% faster implementation cycles) while maintaining industry-leading data accuracy and visualization clarity.

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