Improve the quality of database to serve the operation of the information system about housing and real estate market
Abstract
The housing and real estate market information system built uniformly nationwide is an important tool to share and provide basic information about housing and the real estate market to agencies, organizations and individuals; serving state management and publishing statistical data on housing and real estate markets to meet socio-economic development requirements. The quality of the housing and real estate market information system is demonstrated through two factors: the accuracy of information and data and the consistency of the system from the national to provincial level. Thus, improving the quality of the system is basically improving the accuracy of information and data and improving the consistency of the system from the national to provincial level.
In fact in recent times, many localities have built and operated information systems in their areas, creating a basis for perfecting the information system on housing and the national real estate market. However, besides some results that have been achieved, the work of building an information system on housing and the real estate market in recent times still has some limitations and inadequacies; especially the quality of collecting database information systems to serve system operations from central to local levels.
The purpose of the article is to evaluate the current state of quality, factors affecting the quality of database system collection to serve the operation of housing and real estate market information systems, and point out the limitations, inadequacies and causes, thereby providing a number of solutions and recommendations to improve the quality of information collection and database to be consistent with practice and in accordance with current regulations as a basis. to improve the operational efficiency of the housing and real estate market information system.
Keywords: Information collection; database rendering; housing and real estate market information system.