Cloud business intelligent system

Abstract

A cloud business intelligent system disclosed by the present invention comprises a business processing server and a data processing server, wherein the business processing server comprises a web service module, a logic service processing module, a business intelligent service module, a data base and a memory management module, and the data processing server comprises a backup disaster recovery module, a front-end access management module, a time synchronization management module, a data acquisition module, a data mining module and a member management module. The cloud business intelligent system provided by the present invention is suitable for various commercial retail stores, the commercial behaviors of the shop-and-supermarket and the business data analysis. The cloud business intelligent system is based on a cloud terminal, so that the users can access the system real-timely and conveniently, check various statistic data and data analysis reports. The cloud business intelligent system is based on the distributed and modular design, so that the business data can be acquired, processed and analyzed in a multi-business and multi-logic manner. Besides, by adopting a multi-business logic architecture, the expansion and integration of the functions and the systems can be realized without needing to modify the business logics repeatedly, the parallel realization of the system functions and the parallel processing of various business data are realized, the overload pressure of the server is avoided, and the system business logic separation is realized seamlessly.

Description

technical field [0001] The invention relates to the technical field of business intelligence, in particular to a cloud business intelligence system. Background technique [0002] The key to the establishment of a Business Intelligence (BI) system is to extract useful data from many operating systems of different organizations and clean it up to ensure the correctness of the data. ) and Load (Load), that is, the ETL process, merged into an enterprise-level data warehouse, so as to obtain a global view of enterprise data, on this basis, use appropriate query and analysis tools, data mining tools, online analytical processing ( On-Line Analytical Processing (OLAP for short) tools analyze and process it. At this time, the information becomes knowledge to assist decision-making, and finally the knowledge is presented to managers to provide support for the decision-making process of managers. [0003] As an important part of BI, traditional business processes are mostly bottom-up...

AI Technical Summary

Problems solved by technology

The integrated implementation mode not only increases the burden on the system, but also cannot flexibly integrate commercial data sources with different attributes, which is not conducive to the expansion of the system

[0004] Secondly, the traditional business intelligence system only pays attention to the distribution of administrator and user authority roles, ignoring the attention of the role of integrator in the promotion process of the whole system, and even if there is this role, it is only equivalent to a second-level administrator The role of the system cannot be separated from the business logic

[0005] Furthermore, the traditional localized deployment can no longer meet the needs of the rapid development of the Internet. Mobility and convenience, as the mainstream requirements of the Internet, have attracted more and more people's attention. Therefore, how to design a set of The system running on the cloud is very important

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