Investigating the application of Data and Data Analytics in Real Estate Investment Decisions Among Lagos Valuers

Theresa Ukam Edet

AfRES from African Real Estate Society (AfRES)

Abstract: Incorporating data analytics into real estate investment decisions can provide investors with vital tools and insights to help them manage the intricacies of the real estate market, maximise profits and align their investments with sustainability and ethical considerations. This study investigates how Lagos state valuers leverage data and data analysis approaches to make investment decisions for their clients. The first objective of the research is to identify the appraisal process used by Valuers in their feasibility and viability assessment. The second objective is to determine the type of data collected by Valuers for the preparation of feasibility and viability reports. The third is to identify the significant challenges faced by Valuers in obtaining the required data and how they overcome these challenges in the hope of giving the client the best possible service. Fourth is to examine the role of data analytics in real estate investment decisions, which includes data analysis stages, prospects, and suggested ways Vauers can implement a data-driven culture. Findings from this Study have shown that Real Estate professionals rely on data regarding investment decisions. However, many valuers have yet to explore data analytics or incorporate a data-driven culture in their organisations.

Keywords: Data; Data analytics; Feasibility and Viability appraisals; Investment Decision (search for similar items in EconPapers)
JEL-codes: R3 (search for similar items in EconPapers)
Date: 2023-01-01
New Economics Papers: this item is included in nep-ure
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