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Development of a Geospatial Mapping and Data Integration Platform for Business Operations Optimization
  1. case
  2. Development of a Geospatial Mapping and Data Integration Platform for Business Operations Optimization

Development of a Geospatial Mapping and Data Integration Platform for Business Operations Optimization

faciletechnolab.com
GPS

Challenges Faced by a Business Services Company Lacking In-House Technical Expertise

The company faces significant difficulties due to the absence of in-house developers, skill gaps in advanced web-based application development, and the loss of key personnel who previously managed their core system. This hampers operational efficiency, data handling capabilities, and scalability, impeding their ability to deliver innovative solutions to clients.

About the Client

A mid-sized business services provider specializing in custom software solutions for operational management and geospatial data analytics

Goals for Developing a Scalable Geospatial Data Management and Mapping Tool

  • Create an integrated, web-based mapping and data visualization platform that streamlines operational workflows.
  • Support the integration of complex geospatial data with external mapping services for enhanced user experience.
  • Ensure the solution is scalable to support future growth, increased user load, and additional functionalities.
  • Provide a robust, secure, and reliable environment optimized for performance and ease of maintenance.
  • Enable ongoing support and continuous improvements to meet evolving client demands.

Core System Functionalities for a Geospatial Data and Workflow Management Platform

  • Interactive geospatial map integration with external services such as Google Maps API for seamless data visualization.
  • Custom mapping and design tools to facilitate spatial data analysis and operational planning.
  • User-friendly interface with support for multiple users and role-based access.
  • Workflow management features for task allocation and process streamlining.
  • Secure cloud infrastructure supporting production and development environments.
  • Rigorous testing protocols and quality assurance procedures to ensure performance and stability.
  • Ongoing support and maintenance plan for feature updates, bug fixes, and system scaling.

Preferred Technologies and Architecture for the Mapping Solution

.NET Framework, C# for backend development
Angular for frontend application development
Google Maps API for geospatial visualization
Windows Server 2019 for cloud infrastructure
Agile project management tools like Jira and Miro for development and collaboration

Essential External System Integrations

  • External mapping and geospatial data services (e.g., Google Maps API)
  • Existing internal systems for workflow integration
  • Data storage solutions supporting scalability and security

Key Non-Functional System Requirements

  • System must support future scalability to accommodate more users and functionalities
  • High performance with stable uptime and minimal latency
  • Robust security measures to protect sensitive geospatial and operational data
  • Compliance with relevant data protection and privacy standards
  • Structured development approach with clear milestones and delivery timelines

Expected Business Impact and Benefits of the Geospatial Platform

The implementation of the mapping and data management platform is projected to significantly enhance operational efficiency by streamlining workflows and task allocation. It is expected to improve user adoption rates and client satisfaction, with measurable improvements in task productivity and system stability. Ongoing support will enable continuous innovation to meet future growth requirements, supporting scalability and reliability comparable to the notable outcomes achieved in similar projects.

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