Development of a Commercial Real Estate Data Analytics and Search Platform

The client faces challenges in delivering a comprehensive, searchable database of commercial real estate transactions, with the ability to quickly analyze trends and provide key insights to industry professionals. Existing systems lack advanced search capabilities, integration with content sources, and scalable data management, hindering user access to detailed transaction data across various criteria.

A mid-sized media or data-driven organization specializing in providing detailed market analysis and transaction data for the commercial real estate sector, targeting brokers, investors, and property managers.

• Develop an integrated platform capable of handling extensive property transaction data, aiming to list over 1.7 million properties.
• Create a powerful search engine that enables users to filter transactions by property type, location, price, space size, year built, and sale date.
• Implement data analysis features to generate insights on sales, leases, and financings within the commercial real estate sector.
• Establish seamless integration with existing content sources to embed transaction references within related articles and reports.
• Enhance user experience with fast, accurate search functionalities, and scalable backend architecture.

• A robust database system capable of storing and managing millions of property transaction records.
• An integrated content analysis component that identifies and links transaction data within articles and reports.
• An advanced search engine utilizing Elasticsearch for fast filtering by multiple criteria including property type, location, price, size, and sale date.
• Support for multiple transaction types such as sales, leases, and financings.
• User-friendly interfaces for data exploration and insights generation.
• Scalable architecture to support growth in data volume and user demands.

• Content sources and articles containing references to transaction entities for real-time data linking
• Existing content management systems for embedding transaction data within reports
• Analytics tools for generating market insights

• System must support rapid search responses with low latency, aiming for sub-second query times.
• Data security and privacy compliance for sensitive transaction details.
• Scalability to support expanding data volumes and user base, potentially ingesting over 1.7 million property records.
• High system availability and performance stability over prolonged periods.

The new platform is expected to provide targeted real estate professionals with fast, detailed insights into market trends, significantly improving decision-making and transaction analysis. With over 1.7 million properties listed, the system aims to enhance data accessibility, increase user engagement, and support strategic investment and leasing decisions, ultimately driving market efficiency and client satisfaction.