First of all, big data conditions are already available. The field of public *** resources transaction has good conditions for the formation of big data. Big data in the field of public **** resources transaction comes from: a large amount of information and data generated in the transaction process, the full participation of market players brought about by the behavior of specific subjects. Take the bidding of a housing construction project as an example, the data generated in the bidding process includes at least the basic information of the bidder, the basic information of the bidder, the floor area, the cost information, the bidding offer, and the integrity information. If the public *** resource trading platform has countless such projects, and all the valuable information is pooled, we can establish a database of housing construction projects. If the scope is expanded to bring together all the information in the field of public **** resources such as engineering and construction, government procurement, state-owned property rights, land, medicines, etc., we can form a complete big data in the field of public **** resources. Up to now, more than half of China's provinces, municipalities and autonomous regions have completed the construction of the public **** resources trading platform, the public **** resources trading platform will be the traditional engineering and construction, government procurement, state-owned intellectual property rights, land and other elements of the market together, for the formation of big data in the field of public **** resources trading has laid a solid foundation.

Second, the status of big data research. In the field of public **** resources transactions, big data is dependent on electronic and information technology means to achieve, so the full implementation of electronic transactions in the field of public **** resources transactions is a prerequisite for the realization of public **** resources big data. In recent years, more and more provinces and cities to further standardize the public **** resources trading behavior, accelerate the bidding "electronic, information" process, began the establishment of the public **** resources trading database, sound corporate integrity file, integration and upgrading of the public **** resources trading platform system work. These efforts, more or focus on the improvement of the system, the collection of information, only a small number of trading platforms, in the data analysis, mining has tried. Big data after years of application, is no longer simply data "big", it is more important to analyze the big data, only through analysis to obtain a lot of intelligent, in-depth, valuable information. One of the most important application areas of big data analytics is predictive analytics, which mines out the characteristics from big data and builds models through science, after which new data can be brought in through the model to predict future data. In the past, the kind of simple information collection and superficial data analysis, including electronic bidding, obviously does not belong to the real "big data analysis".