IDEAS home Printed from https://ideas.repec.org/p/afr/wpaper/afres2023-027.html
   My bibliography  Save this paper

Investigating into the application of data analytics in Real Estate Investment Decisions among Lagos Valuers

Author

Listed:
  • Theresa Ukam

Abstract

The aim of this study is to investigate how Lagos state valuers leverage data 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 assessments. A second objective is to identify the required data to facilitate and improve the valuation process. A third objective is to determine the type of data collected by Valuers for the preparation of feasibility and viability reports, Fourth, 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. Finally, to conduct a content analysis of feasibility and viability reports to ensure compliance with data usage and application. The cross-sectional study design will be used for the research. This design is suited for the study since it aims to determine prevalence of a phenomenon, situation, problem, attitude, or issue using a cross-section of the population in conjunction with the purposive sampling technique. The population and source of the structured questionnaire for this study are registered real estate professionals Estate Surveyors and Valuers in the Lagos metropolis. The data will be analyzed using tables of frequency and percentage occurrence of specific outcomes. The data for this study will come from a primary source. Previous findings have shown that data assists real estate professionals when it comes to investment decisions. It helps in analyzing and monitoring market trends, optimizing the buyer’s selection process, understanding patterns to anticipate future growth, digitalizing, and automating real estate evaluations (predicting property prices). It also helps in boosting profits and reducing overall development costs. Considering the results obtained from past studies, this study is expected to find that data usage assists Nigerian real estate industries in regard to investment decision-making.

Suggested Citation

  • Theresa Ukam, 2023. "Investigating into the application of data analytics in Real Estate Investment Decisions among Lagos Valuers," AfRES afres2023-027, African Real Estate Society (AfRES).
  • Handle: RePEc:afr:wpaper:afres2023-027
    as

    Download full text from publisher

    File URL: https://afres.architexturez.net/doc/oai-afres-id-afres2023-027
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:afr:wpaper:afres2023-027. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/afresea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.