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Optimal database design for the storage of financial information relating to real estate investments

Sergey Trofimov (Banking Institute, National Research University – Higher School of Economics, Moscow, Russian Federation)
Nikodem Szumilo (Department of Land Economy, University of Cambridge, Cambridge, UK)
Thomas Wiegelmann (Institute of Sustainable Development and Architecture, Bond University, Robina, Australia)

Journal of Property Investment & Finance

ISSN: 1463-578X

Article publication date: 1 August 2016

916

Abstract

Purpose

The purpose of this paper is to examine state of the art data storage methods of real estate investment data.

Design/methodology/approach

It analyses the process of real estate investment in order to classify and characterize the data it generates. Appropriate literature review is provided.

Findings

The results show that a relational database is the most appropriate database management system type for real estate related data.

Practical implications

Appropriately structured and modelled data flow can improve the design of the real estate investment process. It is also concluded that adopting an optimal design of IT-solutions could improve informational and operational efficiency of the industry.

Originality/value

The subject of this paper lacks sufficient coverage. Popular database management systems are presented and analysed in the context of their suitability for the real estate industry.

Keywords

Citation

Trofimov, S., Szumilo, N. and Wiegelmann, T. (2016), "Optimal database design for the storage of financial information relating to real estate investments", Journal of Property Investment & Finance, Vol. 34 No. 5, pp. 535-546. https://doi.org/10.1108/JPIF-05-2016-0029

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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