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Exploring the potential of big data and data analytics in South Africa's real estate sector

Koech Cheruiyot & Lungile Gamede

Pacific Rim Property Research Journal2025https://doi.org/10.64361/14445921.2024.212311article
ABDC C
Weight
0.50

What the paper says

This paper examines the current applications, barriers, and potential uses of big data and data analytics in the South African real estate market. A qualitative approach was adopted to administer semi-structured interviews to big data and data analytics specialists in the South African real estate market. The results show that the proptech market is still in its infancy in general and that the big data and data analytics submarket is limited in the South African real estate market. Major challenges include the lack of clarity or knowledge of adequate value proposition related to upscaling, supportive ecosystem, storage systems, costs, and the scarcity of technical skills needed for big data and data analytics to blossom. Besides these issues, anecdotal evidence, showing the presence of active companies focusing on big data, and responses from research participants, suggest that big data and big data analytics can grow and potentially bring immense benefits to all stakeholders in the country.

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https://doi.org/https://doi.org/10.64361/14445921.2024.212311

Or copy a formatted citation

@article{koech2025,
  title        = {{Exploring the potential of big data and data analytics in South Africa's real estate sector}},
  author       = {Koech Cheruiyot & Lungile Gamede},
  journal      = {Pacific Rim Property Research Journal},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.64361/14445921.2024.212311},
}

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Exploring the potential of big data and data analytics in South Africa's real estate sector

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.