This article uses the estimate methods of famous international awards in developed countries for reference to study the estimate of college information management system in the viewpoint of practical application. To study the estimate of college information management system is significant not only for theory of estimate but also for practical worth. Carrying out the estimate on the designing developing applying and updating at the right time is a meaningful method for improving the quality of college information management system. Assessing the domain application of college information manage system will promote the progress of college information management system technology and exchange of college information management system application experience.
The Information System literature strongly suggests that planning for distributed information systems should be centralized. The planning activity should be a top down process developed from the business planning and information system planning activities. A model of information system architecture should be developed which would serve as the basis for the management and control of information systems resources throughout the organization. Information system architecture is an enterprise-wide design or plan of the collective information systems and technologies used by the firm, it serves two purposes. It is the basis of planning for the future development of the information systems of the college management and it serves to document the current state of the information systems. Code Shoppy In actuality, an organization should maintain a set of models of information system architectures. One model should document the current state of the firm’s information systems. One model should be target architecture for the organization. Models which are intermediary between those two models should exist which serve to define the planned progress of the organization toward the target architecture. A decision support system which could serve as the basis for the development and evaluation of such models is needed. A model base suitable for this environment must first be developed. In order to evaluate modeling frameworks which might serve as a model base for such a system? basis for evaluation needs to be established. The purpose of this paper is to present the criteria for models which have been set forth in the literature and develop from them quantifiable measures which can be used as a basis for the evaluation of modeling frameworks to be used as a model base for a DSS.
To implement information systems is not simply to install software or to adopt a new technology, but to carry out a commercial project. According to Markus and Tanis, the implementation of information system starts since the planning stage of the system. After the planning is finished, the project team is formed, and a series of concrete projects are carried out.  When the system is finalized and begins to operate, it will go through the stabilizing and optimization stage. After that, system estimate will be implemented. Therefore, information system implementation is divided into three stages as planning, project and promotion, which happen to agree to the division of estimate stages as pre-event, in-event, post-event, proposed by Chinese scholars Wei xiang Xu et al.
Planning Stage Planning stage (pre-event estimate)–to establish guiding principles of system implementation and procedures for related decision making. The main activities include: selection of the information system, establishment of directing committee, deciding of project implementation scope and method, appointment of project team manager and resource distribution. At the planning stage, since the project has not been implemented, the estimate of information system can be seen as predictive validation. Therefore, the major content for estimate is the degree to which system implementation is prepared. Preparations must be made for management and awareness as well as technology and fund. Pre-event estimate of information system is often combined with the project feasibility study. The main contents for estimate include four aspects: management feasibility, economy feasibility, technology feasibility and operation feasibility.
Project Stage Project stage (in-event estimate) -configuration of the information system and installation of it in the whole college, i.e. the process from configuration to installation of the system. The main activities include: software configuring, system integrating, testing, data transforming, training and installing. During project stage, system estimate is to ensure the progress and quality of system implementation and to direct it towards the goal set up. The expenditure being mainly concentrated at project stage and little profit earned the proper control of progress and cost is a premise for optimizing decision and performance in follow-up project stage. Hence the estimate of project stage mainly includes progress, quality and cost of the system. The estimate indexes mainly include: 1) Estimate index for system construction. System implementation progress, degree of user’s satisfaction, system development efficiency, resource utilization rate, degree of system construction normalization, degree of system integral advancement, etc. 2) Estimate index for system performance. Reliability, efficiency, adaptability, translatability, maintainability, expandability, safety and confidentiality of the system, etc. 3) Estimate index for system implementation cost: the project cost as compared with the budget.
Optimization Stage Optimization stage (post-event)-from installation of system to normal operation until stable operation. At this stage, colleges begin to obtain commercial benefits from information system and plan to implement new technologies. The activities mainly include: system repair, upgrading IT infrastructure, modification of business practice and workflow, system function expansion and innovation, etc. At optimization stage, old system is replaced by new ones or optimized, and new system begins to function smoothly. Users are more familiar with the operation of new system. Administrators make decisions with the data from the system. Additional innovations are carried out on workflow and software configuration. Besides, colleges need to bear new extra cost, including labor cost of temporary work, consultation fee, additional IT resource investment, etc. Therefore, the focus of information system estimate is the fluctuations of Key Performance Index (KPI) and commercial benefits which colleges obtain via information system. The main estimate indexes include: time spent for KPI in achieving normal or expected level; commercial benefits obtained, such as lowering cost of operation, benefits gained by saving stock safekeeping fee; possibility of adopting new version, new technology and new innovation after the stable operation of the system.