【導(dǎo)讀】化的中介服務(wù)，。房屋中介行業(yè)做為一個(gè)管理房屋信息的機(jī)構(gòu)，其對(duì)信息的管。理應(yīng)該準(zhǔn)確，無(wú)誤。利用所學(xué)過(guò)的軟件工程設(shè)計(jì)思想，數(shù)據(jù)庫(kù)等知識(shí)設(shè)計(jì)一。個(gè)房屋中介管理的軟件對(duì)于提高該中介機(jī)構(gòu)的工作效率變得尤為重要。其主要內(nèi)容包括如下：對(duì)于房屋信息的管理；后臺(tái)數(shù)。據(jù)庫(kù)的設(shè)計(jì)，建立以及各個(gè)模塊間的關(guān)系。一直以來(lái)人們使用傳統(tǒng)人工的方。息和快速查詢手段。

　　

【正文】 s and databases clubs top priority to deal with the demand. For example, given the imprecise sales forecasts this problem areas, information systems managers in the anization may be stored in the database additional historical sales data, new market research data and new product test data. 2. The planning anizations set targets Organizations planning targets defined scope of business, and business scope will limit the subsequent analysis and information systems may change places. Five key planning targets as follows: ● anizational units in the various sectors. ● anizations location of the place of business operations. ● functions of the business support anizations handling mission of the relevant group. Unlike business anizations function modules, in fact a function can be assigned to various anizations modules (for example, product development function is the production and sale of the mon responsibility of the Ministry). ● types of entities managed by the anization on the people, places and things of the major types of data. ● Information System data set processing software applications and support 河南科技大學(xué)本科畢業(yè)設(shè)計(jì)（論文） 26 procedures. 3. To set up a business model A prehensive business model including the functions of each enterprise functional deposition model, the enterprise data model and the various planning matrix. Functional deposition is the function of the anization for a more detailed deposition process, the functional deposition is to simplify the analysis of the issue, distracted and identify ponents and the use of the classical approach. Pine Valley furniture pany in order to function in the functional deposition example in figure 2 below. In dealing with business functions and support functions of the full set, multiple databases, is essential to a specific database therefore likely only to support functions (as shown in Figure 2) provide a subset of support. In order to reduce data redundancy and to make data more meaningful, has a plete, highlevel business view is very helpful. The use of specific enterprise data model to describe the symbol. Apart from the graphical description of this type of entity, a plete enterprise data model should also include a description of each entity type description of business operations and a summary of that business rules. Business rules determine the validity of the data. An enterprise data model includes not only the types of entities, including the link between the data entities, as well as various other objects planning links. Showed that the linkage between planning targets a mon form of matrix. Because of planning matrix need not be explicit modeling database can be clearly described business needs, planning matrix is an important function. Regular planning matrix derived from the operational rules, it will help social development activities that top priority will be sorting and development activities under the topdown view through an enterprisewide approach for the development of these activities. There are many types of planning matrix is available, their monalities are: ● locations features show business function in which the implementation of operational locations. ● unit functions which showed that business function or business unit responsible for implementation. ● Information System data entities to explain how each information syste m interact with each data entity (for example, whether or not each system in each entity have the data to create, retrieve, update and delete). ● support functions data in each functional entities in the data set for the acquisition, use, update and delete. ● Information System target indication for each information system to support business objectives. Figure 3 illustrate a possible functions data entities matrix. Such a matrix can be used for a variety of purposes, including the following three objectives: 1) identify gaps in the data entities to indicate the types of entities not use any function or functions which do not use any entity. 河南科技大學(xué)本科畢業(yè)設(shè)計(jì)（論文） 27 2) found that the loss of each functional entities involved in the inspection staff through the matrix to identify any possible loss of the entity. 3) The distinction between development activities if the priority to the top of a system development function for a highpriority (probably because it important anizational objectives related), then this area used by entities in the development of the database has a high priority. Hoffer, Gee and Valacich (2020) are the works of the matrix on how to use the planning and pletion of the Information Engineering The planning system more plete description. 2 database development process Based on information engineering information systems planning database is a source of development projects. These new database development projects is usually in order to meet the strategic needs of anizations, such as improving customer support, improve product and inventory management, or a more accurate sales forecast. However, many more database development project is the bottomup approach emerging, such as information system user needs specific information to plete their work, thus beginning a project request, and as other information systems experts found that anizations need to improve data management and begin new projects. Bottomup even in the circumstances, to set up an enterprise data model is also necessary to understand the existing database can provide the necessary data, otherwise, the new database, data entities and attributes can be added to the current data resources to the anization. Both the strategic needs or operational information needs of each database development projects normally concentrated in a database. Some projects only concentrated in the database definition, design and implementation of a dat