A city's public transportation company is a large local enterprise engaged in the public transportation industry, and it has seven subsidiaries. In recent years, the company has vigorously developed informatization construction, and has built a number of information management systems, involving operations, management, finance and other aspects. These systems are not only relatively independent, but also have certain connections, and they will call each other data from other systems. However, after nearly ten years of use and development of these information systems, their inherent limitations have become less and less suitable for the current business needs of enterprises, mainly reflected in the following aspects:
(1) The application function cannot be fully automated.
(2) The network load is large, and the application development and maintenance are cumbersome.
(3) Due to the lack of functions of the system, a large number of manpower is required to analyze and report the work.
(4) The technical architecture of the system itself is outdated and cannot meet the requirements of data application that users constantly put forward.
(5) The changes and expansions accumulated in the past ten years have made the system too large, with many interfaces, mixed use of various technologies and platforms, and high application and maintenance costs.
(6) The demand for sharing data between information systems exists objectively, but due to different reasons such as the development time of each system, development tools, department requirements, and database selection, the data in different systems distributed in the network are independent of each other and cannot be realized. True information resource sharing.
(7) Each information system has a private database. The same thing may be given different meanings in different systems, resulting in semantic confusion. There are differences in storage formats in different systems, which will bring great troubles in comprehensive processing. At the same time, calling data across systems will also seriously affect performance.
Therefore, the company has been looking for a way to centrally analyze and process company-wide data without affecting the operation of existing systems, and business intelligence is an excellent solution. Using the unique stability and big data processing advantages of the business intelligence software FineBI, the data of various systems can be linked, and the data accumulated in the past is also "active".
It is precisely because of such a network-based system that vehicle information is archived and centralized, and managers can effectively view vehicle operation information and vehicle maintenance status in real time to assist in decision-making.
The company's real-time business intelligence has been around for several years, and managers are familiar with this management model. The business intelligence solution also brings the following benefits to management operations:
(1) The query analysis performance is improved.
(2) Reduce and control operational risks.
(3) Reduce operating costs by increasing efficiency.
(4) Through intelligent analysis, rationally arrange vehicle maintenance.
(5) Automated processing of analysis reports to reduce manpower and material expenditures.
(6) Integrate data to form an enterprise-level information view, which is convenient for comprehensive analysis.
(7) Capture knowledge through intelligent analysis and data mining to assist management decision-making.