E-commerce statistical system based on cloud platform

Abstract

The invention belongs to the technical field of e-commerce, and discloses an e-commerce statistical system based on a cloud platform, which comprises an e-commerce statistical platform and a cloud server, the e-commerce statistics platform is carried on the cloud server, and a central processing unit and a database are arranged in the e-commerce statistics platform; the e-commerce statistical platform is used for collecting, processing, sorting, retrieving and calling the e-commerce data, and finally establishing a physical model and drawing and displaying images through statistical analysis;an enhanced firewall is programmed on the cloud server based on a software program; and the e-commerce statistics platform is connected with a second display screen. By arranging the data on the cloudplatform, overload of the system is well avoided, a text, voice and picture input mode can be adopted, and the application range of the system is expanded, so that various statistical analysis requirements are met; therefore, calculation and acquisition of various target data are realized, and great convenience is brought to use of workers; the analysis accuracy is improved, and the simulation analysis of the data is realized.

Description

technical field [0001] The invention belongs to the technical field of e-commerce, in particular to an e-commerce statistics system based on a cloud platform. Background technique [0002] With the rapid development of Internet technology, many e-commerce platforms have emerged, and it has become very common for consumers to shop online through e-commerce platforms. In the existing e-commerce platform, the managers of the various stores settled in cannot obtain the relevant information of their own stores, let alone analyze the data of various indicators required according to the needs; [0003] For the analysis and processing of e-commerce data, distributed storage technology and distributed computing technology are mostly used at present. For the current popular analytical business applications, they all have their own analysis techniques and models, and they need to collect data into their own programs and then perform targeted analysis techniques. But when faced with e...

AI Technical Summary

Problems solved by technology

But when faced with e-commerce data analysis, if many current commercial applications load e-commerce data to the server where the application is located, it will cause overload and cause the program to crash. At the same time, the requirements for statistical analysis can only be entered in text. , once encountering rare words or special symbols, it is easy to appear that the requirements cannot be input, which leads to great limitations in the use of the system; and the existing data analysis system cannot perform data simulation analysis, which leads to data analysis. The result is relatively one-sided

Images