Improving online Real Estate Management Using Data Analytics

DOI

10.2991/978-94-6463-858-5_134How to use a DOI?

Keywords

Online; Real estate; Data analytics

Abstract

With the advancement of technology, industries across various sectors continue to innovate and scale. In the Real Estate industry, property technologies (PropTech) have driven substantial progress and growth. However, Real Estate markets in developing nations face persistent challenges in areas such as management, trust, sales, and information technology. This paper introduces a model for an online Real Estate service system, implemented through a responsive web application that leverages data analytics and visualization to provide insights and enhance decision-making. The model integrates backend clustering and regression algorithms to generate insights from test data, including information from 62 PropTech companies in Nigeria. This approach supports clients, managers, and agents in making informed decisions to promote organizational growth. The research involved studying the effects of data expansion within online Real Estate systems, drawing from previous literature and analyzing data from over 7,000 PropTech firms. Data was collected through questionnaires and validated to identify key focus areas, such as property searches, agent reliability, and performance. The results include application use cases that address property search optimization, fraud prevention, and simplified property acquisition based on client-specific criteria. Additionally, the system facilitates connections with verified agents using client needs and agent track records. Testing indicates that as more data is incorporated into the system, its efficiency improves due to the adaptive nature of the dynamic clustering mechanisms.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - T. Aruna
AU  - S. Krupananda Reddy
AU  - G. Akshaya
AU  - G. Sumanth
AU  - E. Vishal
PY  - 2025
DA  - 2025/11/04
TI  - Improving online Real Estate Management Using Data Analytics
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1655
EP  - 1662
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_134
DO  - 10.2991/978-94-6463-858-5_134
ID  - Aruna2025
ER  -