Research on Product Decision of Real Estate Project Based on Big Data Analysis
DOI:
https://doi.org/10.54097/fbem.v11i2.12593Keywords:
Big Data, Product Decision, Real Estate Project.Abstract
The characteristics of product decision-making of real estate projects are determined by the particularity of real estate projects. Because the development and construction period of real estate projects is long, the investment is large, many parties participate, there are many risk factors in the development process, and after the development is completed, it is unrepeatable, and most of them aim at profit. Real estate regulation and control is a long-term work, and it is urgent to establish a set of operational analysis and decision support platform that runs through the whole chain of real estate and connects national and local levels, so as to realize real-time data aggregation, online calculation of indicators, rapid organization of content, rapid assembly of functions and flexible customization of services. In this paper, BD (Big Data) technology is used to collect real estate-related market data such as land, housing and finance, macro-statistical data such as population, society and economy, as well as real estate policy and public opinion information, to carry out system design and technology development, and to establish a real estate DSS(Decision Supporting System) based on BD. The system is helpful to carry out dynamic monitoring, analysis and evaluation of the real estate market, and effectively supports the product decision-making of real estate projects.
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References
Zhai Bowen, Chen Huilin, Zhao Kui, Zhang Ping, & Huang Xiaojuan. (2018). Innovative exploration of real estate dilemma analysis and development decision based on big data [J]. Practice and understanding of mathematics, 48(24), 10.
Shao Zhengyu, & Chloe Wang. (2020). Enterprises use big data to implement real estate management research-Comment on Introduction to Big Data Management and Application [J]. Science and Technology Management Research, 40(15), 1.
Lou Liming, Lu Shachuan,&Yu Jianzhong. (2021). Whole process monitoring of real estate land projects based on big data [J]. China Land (3), 3.
Liu Hongbing,&Li Lijuan. (2012). Research on the effectiveness of real estate investment based on data envelopment analysis theory-taking nine investment projects of Vanke Group as decision-making units [J]. Accounting Newsletter: China (6), 2.
Xu Xuanhua, Ma Zhipeng, & Chen Xiaohong. (2022). Study on the dynamic evolution of emergency decision-making quality of large groups based on public preference big data analysis [J]. China Management Science, 30(7), 10.
Liu Jun, Zhao Kui, & Zhang Ping. (2020). Calculation of China real estate bubble based on wavelet analysis [J]. statistics and decision (3), 4.
Jiang Hao. (2018). The impact of big data on enterprise decision-making process: a multi-case study [J]. Journal of Hebei University of Economics and Business, 39(3), 9.
Xue Bing, Mix, Li Jingzhong,&Xie Xiao. (2020). Spatial Structure Analysis of Northeast Cities Based on poi Big Data [J]. Geographic Science, 40(5), 10.
Li Weisheng, Huang Rong. (2019). Research on Community Marketing Model of Real Estate Network Based on Big Data Technology [J]. Research on Technical Economy and Management, (009), 28-32.
Wu Zhi 'ang, Xinyuan Zhao, Huang Bin,&WU GANG. (2021). Analysis of hot research topics of big data management decision based on bibliometrics [J]. journal of management sciences in china, 24(6), 10.
Chen Chen. (2017). Research on hadoop-based library unstructured big data analysis and decision-making system [J]. Information Science, 35(1), 5.
