Information System Development and Database Development In many organizations, database development from the beginning of enterprise data modeling, data modeling enterprises determine the scope of the database and the general content。 This step usually occurs in an organization's information system planning process, it aims to help organizations create an overall data description or explanation, and not the design of a specific database。 A specific database for one or more information systems provide data and the corporate data model (which may involve a number of databases) described by the organization maintaining  the  scope of the data。 Data modeling in the enterprise, you review of the current system, the need to support analysis of the nature of the business areas, the need for further description of the abstract data, and planning one or more database development project。83779

1。1Information System Architecture

Senior data model is only general information system architecture (ISA) or a part of an organization's information system blueprint。 In the information system planning, you can build an enterprise data model as a whole information system architecture part。 According to Zachman (1987), Sowa and Zachman (1992) views of an information system architecture consists of the following six key components:

Data

Manipulation of data processing

Networks, which organizations and in  organizations with its main  transmission of data between business partners (it can connect through the network topology map and to demonstrate)。

People who deal with the implementation of data and information and is the source and receiver (in the process model for the data shows that the sender and the receiver)。

Implementation of the events and time points (they can use state transition diagram and other means。)

The reasons for the incident and data processing rules (often in the form of text display, but there are also a number of charts for the planning tools such as decision tables)。

1。2Information Engineering

Information systems planners in accordance with the specific information system planning methods developed information system architecture。  Information engineering is a popular and formal methods。 Information engineering is a data-oriented creation and maintenance of the information system。 Information engineering is because the data-oriented, so when you begin to understand how the database is defined by the logo and when information engineering a concise explanation is very helpful。 Information Engineering follow top-down planning approach, in which specific information systems from a wide range of information needs in the understanding derived from , rather than merging many detailed information requested ( orders such as a screen or in accordance with the importation of geographical sales summary report)。 Top-down planning will enable developers   to

plan more comprehensive information system, consider system components provide an integrated approach to enhance the information system and the  relationship between the business objectives of the understanding, deepen their understanding of information systems throughout the organization in understanding the impact。

Information Engineering includes four steps: planning, analysis, design and implementation。 The planning stage of project information generated information system architecture, including enterprise data model。

1。3Information System Planning

Information systems planning objective is to enable IT organizations and the business strategy closely integrated, such integration for the information systems and technology to make the most of the investment interest is very important。

1。Critical factors determining the planning

Planning is the key factor that organizational objectives, critical success factors and problem areas。 These factors determine the purpose of the establishment of planning and environment planning and information systems linked to strategic business planning。 Table 2 shows the Pine Valley furniture company's key planning a number of possible factors, these factors contribute to the information systems manager for the new information systems 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 organization may be stored in the database additional historical sales data, new market research data and new product test data。