Design And Implementation Of Multi-dimensional Independent Analysis System For Real Estate Industry

After my country’s accession to the WTO,the Internet and big data have continuously penetrated into people’s lives,and have also given new energy to real estate transactions.It plays an increasingly important role in activities such as monitoring the behavior of enterprises and monitoring whether the operation of various links of the enterprise is healthy or not.A large number of real estate companies have joined the online scene from offline marketing.However,due to the late start of my country’s real estate intermediary industry,compared with the United States,the industry’s development level is relatively low,and data analysis has been in a very simple business reporting stage.,there is a lack of solutions to promote business innovation based on data repudiation.At the same time,due to the lack of enterprise data system standards and methodologies defined by data specifications,the data language is not unified,resulting in the company’s lack of unified health monitoring of the overall business operations.This thesis proposes a new multi-dimensional self-service analysis system for the real estate industry.It is a system that can perform independent data analysis and monitoring management in multiple scenarios,multiple businesses,multiple users and multiple perspectives in the whole process of real estate transactions.This system takes the management health system as the construction framework,connects the data of different systems through innovative means,realizes the free offline or real-time flow of data,and provides large-scale unified data collection,transmission,storage and distributed computing capabilities.This thesis starts from the research and analysis of the company’s demand analysis,carries out the design of the distributed computing system,and then carries out the implementation of the program and the analysis and calculation of the health index.The performance has been tested through joint debugging,and the final test results can achieve the expected results.This system integrates and calculates all the data of the company,unifies data export,reduces management variance,improves organizational management efficiency,and satisfies the data analysis and management of thousands of people and thousands of cities.It has great practical significance.The healthy development of the intermediary industry plays a positive role.