Development of a Cloud-Based Geospatial Data Warehouse for City Planning and Municipal Engineering

The client faces difficulties in managing extensive geographical data across multiple locations, with existing solutions limited in scalability, security, and user experience. The need to modernize data infrastructure for automation, security, and self-service capabilities is critical for improving decision-making and service delivery.

A governmental municipality responsible for urban planning, infrastructure management, and geographic information services, seeking to enhance data accessibility, security, and operational efficiency through digital transformation.

• Implement a centralized, cloud-based data warehouse to consolidate geographic information from multiple sources.
• Ensure the architecture is security-enabled and scalable to support future growth and data volume increases.
• Deliver self-service access to geospatial data through web and mobile applications, reducing manual processing and increasing user autonomy.
• Incorporate user-centric design to improve usability and accessibility of geospatial information.
• Enhance data automation, integration, and real-time accessibility to support urban planning, municipal engineering, and public services.

• A cloud-hosted data warehouse capable of handling large-scale geospatial datasets with secure access controls.
• Self-service web and mobile interfaces designed with user experience principles to facilitate easy data retrieval and visualization.
• Automated data pipelines for ingesting, updating, and maintaining geospatial information across multiple municipal departments.
• Role-based access management to ensure data security and compliance.
• Integration with existing GIS tools and municipal systems for seamless data interoperability.
• Support for real-time data updates and notifications to relevant stakeholders.

• Municipal GIS data repositories
• Urban planning and civil engineering systems
• Real-time sensor and IoT data sources
• Municipal administrative and administrative management systems

• Scalability to support growth from initial data volume to multiple terabytes with minimal performance degradation
• High availability and disaster recovery capabilities to ensure data resilience
• Security with role-based access control, encryption at rest and in transit
• Performance targets: sub-second query response time for common data retrieval tasks
• Compliance with relevant data privacy and security standards

The implementation of a secure, scalable, and self-service geospatial data platform is expected to significantly improve data accessibility and operational efficiency, enable smarter city planning and management, and support future growth. Anticipated benefits include streamlined data workflows, enhanced security posture, reduced manual effort, and improved decision-making capabilities, mirroring previous success metrics that indicated improved automation and user experience for similar organizations.