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Business Intelligence Implementation on the Marketing of Real Estate

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SP-18_Articulo Final_Douglas Acevedo.pdf (585.7Kb)
Poster - Douglas Acevedo (906.6Kb)
Date
2018
Author
Acevedo Martínez, Douglas S.
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Abstract
This research identify the Business Intelligence’s components and techniques that could be implemented on different industries. Also, I review literature available in relation of the implementation of Business Intelligence systems within the Real Estate Industry. This study conducted a data mining analysis using an available public data from 2007 until 2017. Using this data mining, I seek to follow the Business Intelligence principle of translating data into knowledge. The analysis identify trends that confirm the valuable information gain by these techniques and these were translated into strategies that could be implemented for improving the quality of services provided by real estate professionals. To conclude the paper, I used data warehouse containing the loan application data to developed different models to predict the loan amount applications and the prediction model seek to serve as an example that could be used to translate the results on potential strategies for the real estate professional. Key Terms - The following terms are relevant terms used on this article: Business Intelligence, Data Mining, Real Estate, Predictive Model
URI
http://hdl.handle.net/20.500.12475/219
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