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Automated Property Data Aggregation and Reporting System for Real Estate Market Analysis
  1. case
  2. Automated Property Data Aggregation and Reporting System for Real Estate Market Analysis

Automated Property Data Aggregation and Reporting System for Real Estate Market Analysis

ritenrg.com
Real estate
Information technology

Identify the Challenges in Manual Property Research and Report Generation

Property buyers and real estate professionals face significant time-consuming efforts to gather diverse publicly available data such as legal status, flood risks, floor plans, public transport options, and internet providers. Manual research involves numerous Google searches, phone calls, and visits to municipal offices, limiting scalability and efficiency as demand for comprehensive property reports grows.

About the Client

A startup or medium-sized real estate company aiming to streamline property research by providing comprehensive, automated property reports to buyers, leveraging publicly available data sources.

Define Goals for Automating and Scaling Property Data Reports

  • Develop an automated system to compile comprehensive property reports from multiple sources, reducing report generation time from one business day to approximately 30 seconds.
  • Enable the business to scale its operations without proportional increases in manual labor by improving report generation efficiency.
  • Create a reliable, scalable platform capable of handling increasing data sources and report requests, supporting future feature expansion such as payment integration and advanced report customization.

Core Functional System Capabilities for Property Data Reporting

  • Web crawling module to gather data from multiple external sources including government databases, floodplain maps, and utility providers.
  • Data validation and error handling mechanisms to ensure accuracy and reduce data inconsistencies.
  • A centralized report compiler that consolidates the collected data into a clear, easy-to-understand format.
  • User interface allowing clients to request, view, and download detailed property reports.
  • Reporting system designed with scalability in mind to accommodate increasing data sources and report requests.

Preferred Technologies and Architectural Approaches

.NET Core / .NET 5+
Azure cloud platform for hosting and scalability
Web crawling frameworks optimized for reliability and efficiency

Required External Data Source Integrations

  • Government and municipal databases for legal and ownership data
  • Floodplain and environmental risk maps
  • Public transport and connectivity APIs
  • Internet service provider listings and utility databases

Non-Functional System Requirements

  • System able to process and generate reports within 30 seconds per request
  • High reliability with minimal data errors, employing validation and error handling
  • Scalable architecture supporting increasing data sources and user requests
  • Secure handling of data, with user authentication and data privacy compliance
  • Regular updates and maintenance capabilities

Projected Business Impact and Benefits

The automated report generation platform is expected to significantly reduce report creation time from one business day to approximately 30 seconds, enabling rapid scaling of the service. This efficiency will allow the business to handle a growing client base without proportional increases in manual effort, fostering business growth and expanded market reach. Future enhancements such as integrated payment systems and customizable report features are planned to further enhance value and customer satisfaction.

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