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Development of Geospatial Data Visualization Platform for Enterprise Location Intelligence
  1. case
  2. Development of Geospatial Data Visualization Platform for Enterprise Location Intelligence

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Development of Geospatial Data Visualization Platform for Enterprise Location Intelligence

oxagile.com
Energy & natural resources
Utilities
Environmental Services

Current Challenges in Location Intelligence Access

Enterprises face significant delays in accessing and integrating geospatial data with business intelligence, resulting in reduced operational efficiency and missed opportunities for location-based decision making.

About the Client

Multinational enterprise requiring real-time geospatial analytics for resource management and operational optimization

Strategic Development Goals

  • Create an interactive frontend solution for real-time geospatial data visualization
  • Implement API-driven integration with existing enterprise systems
  • Reduce time-to-insight for location-based business intelligence by 60%
  • Support scalable integration of multiple geospatial data sources

Core System Capabilities

  • Interactive map interface with multi-layer data visualization
  • API integration framework for third-party geospatial services
  • Real-time BI data synchronization with location-based overlays
  • Customizable dashboard for industry-specific use cases
  • Historical data comparison with time-series visualization

Technology Stack Requirements

GWT
AJAX
Java
JavaScript
Mapfluence API

System Integration Needs

  • Enterprise BI platforms (e.g., Tableau, Power BI)
  • Geospatial data providers (ESRI, Google Maps)
  • Internal resource management systems

Performance and Quality Standards

  • Support 1000+ concurrent users with <2s response times
  • Ensure 99.9% system availability for critical visualization components
  • Implement role-based access control for sensitive geospatial data
  • Maintain scalability for handling large datasets (>1TB)

Expected Business Outcomes

Enables faster location-based decision making through integrated geospatial and business intelligence, reduces integration costs by 40%, and improves operational efficiency through real-time data visualization capabilities.

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