Research On Operation Strategy Of Real Estate Platform Based On Big Data Analysis

With the continuous acceleration of IT technology,the Internet has penetrated into all aspects of public life,and the participation of the whole people has accelerated the exponential growth of data volume,that is,to promote the application of big data technology in all walks of life.At the same time,with the influx of economic and human resources into the Internet industry,the real estate industry has also ushered in unprecedented changes.After the dividend period of Internet traffic,how to find a breakthrough in the development of enterprises through new models has become a difficult problem for enterprises.Real estate platform is a bridge between buyers,sellers,housing sources and other parties.In this process,massive data will be generated,which requires the use of large data technology.At present,the application of big data in real estate is relatively simple,mainly in Intelligent Recommendation Based on big data algorithm and model,business opportunity clues based on user portraits and trend prediction based on data analysis,etc.How to provide value-added operation strategy for housing enterprises through big data becomes very important.This paper first sorted out the core concepts and relevant theories required by the research,analyzed the real estate industry by using PEST and SWORT methods,and clarified the research background,market environment and competition environment.Through the analysis and research on the actual cases of the application of big data in real estate,the problems existing in the platform of F housing enterprise were found,and the practical operation strategies were proposed according to the problems,providing references for other real estate platform enterprises.