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Development of a Cloud-Based SaaS Ecosystem and Data Warehouse for Property Portfolio Management
  1. case
  2. Development of a Cloud-Based SaaS Ecosystem and Data Warehouse for Property Portfolio Management

Development of a Cloud-Based SaaS Ecosystem and Data Warehouse for Property Portfolio Management

gloriumtech.com
Real estate

Identifying Legacy System Limitations and Cloud Transition Challenges

A leading property management software provider faces challenges with inflexible on-premises infrastructure, limited scalability, and outdated UI/UX. They require a rearchitecture to enable a flexible, cloud-based SaaS solution that supports rapid deployment, enhanced security, and improved user experience, while maintaining minimal changes to existing database structures.

About the Client

A mid to large-sized property management firm seeking to modernize and scale their portfolio analysis and reporting systems through cloud technology.

Goals for Modernizing Property Management Software Infrastructure

  • Rearchitect the existing application infrastructure for cloud compatibility, focusing on flexibility and scalability.
  • Migrate core data storage to a secure and reliable cloud platform, such as Azure.
  • Develop a SaaS delivery model to facilitate subscription-based access, increasing market reach and revenue stability.
  • Enhance the user interface and experience using modern UI/UX principles.
  • Ensure compliance with security standards through comprehensive certification and penetration testing.
  • Introduce integration capabilities with external data sources such as Excel, Fuel, and Proda for comprehensive reporting and analysis.
  • Implement modular architecture by encapsulating core application features as reusable components or packages.

Core Functional System Specifications for Property Portfolio SaaS Platform

  • Cloud-based data warehouse supporting fast data retrieval and storage operations
  • Modern, responsive UI/UX with enhanced usability and performance
  • Support for Excel, Fuel, and Proda integration to streamline data import/export and reporting
  • Generation of comprehensive, on-demand management and control reports
  • Sharable smart lists for collaborative decision-making
  • Predefined and customizable reporting dashboards
  • Modular application components packaged for easy updates and maintenance

Technology Stack and Architectural Preferences for SaaS Platform

Cloud platform: Azure (or equivalent) for storage and deployment
Frontend: Angular for developing a responsive, user-friendly interface
Backend: .NET Core or similar framework for application logic
Database: MS SQL Server, optimized for cloud performance
Automation and testing tools: Selenium for automated testing
Programming Languages: Java for supplementary integrations or components

External System Integrations for Enhanced Data Processing

  • Excel for data input and report export
  • Fuel system for data feeds related to property operations
  • Proda platform for additional property management data sources

Non-Functional Requirements for Cloud SaaS Property Management Platform

  • Scalability: Support for increased user load and data volume with minimal performance degradation
  • Performance: Faster data retrieval and report generation due to cloud storage solutions
  • Security: Compliance with industry security standards, including penetration testing and certification processes
  • Reliability: 99.9% uptime and robust backup mechanisms
  • Usability: Intuitive, consistent UI designed with contemporary best practices

Projected Business Benefits and Outcomes of Cloud-Based Property Management Solution

The new cloud-based SaaS platform is expected to attract a broader customer base through a subscription model, resulting in increased recurring revenue and market share. The modernization will improve system performance and security, reduce maintenance costs, and enable rapid feature deployment, leading to heightened customer satisfaction. The platform's enhanced data access and analytics capabilities will empower property managers with faster, more accurate decision-making, fostering operational efficiency and competitive advantage.

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