TY - JOUR
T1 - A Novel Data Analytics Methodology for Analyzing Real Estate Brokerage Markets with Case Study of Dubai
AU - Al Abdulsalam, Ahmed Saif
AU - Al Hashemi, Maged Mohammed Al Baiti
AU - Aleissaee, Mohammed Zayed Sulaiman
AU - Almansoori, Abdelaziz Saleh Husain
AU - Ertek, Gurdal
AU - Labben, Thouraya Gherissi
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/10
Y1 - 2024/10
N2 - Despite the vast economic impact of real estate markets worldwide, research on real estate brokerage markets remains limited. Specifically, there are few studies that provide a systematic, integrated, and replicable analytical methodology to analyze and benchmark a given real estate brokerage market. To this end, this paper introduces a data analytics methodology for analyzing real estate brokerage markets, integrating various statistical and analytical methods to extract insights from market data, supporting real estate investment decisions. The applicability of the methodology is demonstrated with a case study analyzing data from the top 50 real estate brokerage firms in Dubai, UAE. As shown in the case study, applying this methodology to brokerage market data enables the visual benchmarking of firms, identification of similarities between them, profiling and comparison of clusters of firms, and exploration of the impacts of various categorical and numerical attributes on performance. A notable finding for the Dubai real estate brokerage market is that it takes a minimum of 700 days for a brokerage firm to mature and advance to the next level of business success.
AB - Despite the vast economic impact of real estate markets worldwide, research on real estate brokerage markets remains limited. Specifically, there are few studies that provide a systematic, integrated, and replicable analytical methodology to analyze and benchmark a given real estate brokerage market. To this end, this paper introduces a data analytics methodology for analyzing real estate brokerage markets, integrating various statistical and analytical methods to extract insights from market data, supporting real estate investment decisions. The applicability of the methodology is demonstrated with a case study analyzing data from the top 50 real estate brokerage firms in Dubai, UAE. As shown in the case study, applying this methodology to brokerage market data enables the visual benchmarking of firms, identification of similarities between them, profiling and comparison of clusters of firms, and exploration of the impacts of various categorical and numerical attributes on performance. A notable finding for the Dubai real estate brokerage market is that it takes a minimum of 700 days for a brokerage firm to mature and advance to the next level of business success.
KW - brokerage markets
KW - data analytics
KW - multi-dimensional scaling (MDS)
KW - real estate brokerage firms
KW - statistical analysis
UR - http://www.scopus.com/inward/record.url?scp=85207330426&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85207330426&partnerID=8YFLogxK
U2 - 10.3390/buildings14103068
DO - 10.3390/buildings14103068
M3 - Article
AN - SCOPUS:85207330426
SN - 2075-5309
VL - 14
JO - Buildings
JF - Buildings
IS - 10
M1 - 3068
ER -