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A Business Intelligence System for Risk Management in the Real Estate Industry

by Raul Valverde
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 27 - Number 2
Year of Publication: 2011
Authors: Raul Valverde
10.5120/3276-4458

Raul Valverde . A Business Intelligence System for Risk Management in the Real Estate Industry. International Journal of Computer Applications. 27, 2 ( August 2011), 14-22. DOI=10.5120/3276-4458

@article{ 10.5120/3276-4458,
author = { Raul Valverde },
title = { A Business Intelligence System for Risk Management in the Real Estate Industry },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 27 },
number = { 2 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume27/number2/3276-4458/ },
doi = { 10.5120/3276-4458 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:44.505515+05:30
%A Raul Valverde
%T A Business Intelligence System for Risk Management in the Real Estate Industry
%J International Journal of Computer Applications
%@ 0975-8887
%V 27
%N 2
%P 14-22
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The purpose of this work is to build a Business Intelligence System (BIS) for the real estate industry. The BIS be useful for risk managers interested in real estate investment. The paper identifies the main risk management related decisions that real estate professionals made on a daily basis. Risk management decision models are selected from an extensive literature review. These models are incorporated into an information system. A set of reports that will support risk management real estate decisions are designed and implemented in a prototype built to demonstrate the potential of this technology in the real estate industry. The database of the information system is populated with a sample of data collected from the real estate market of the state of California USA and results were generated to illustrate how reports can be used to support real estate risk management decisions.

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Index Terms

Computer Science
Information Sciences

Keywords

Financial Information Systems Data mining Real Estate Business Intelligence Finance Portfolio Management Risk Management

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