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医药销售系统

  • 简介:目 录 目录……………………………………………………………………………………………01 摘要……………………………………………………………………………………………02 Abstract……………………………………………………………………………03 关...
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……………………………………………………………………………………………01

摘要……………………………………………………………………………………………02

Abstract……………………………………………………………………………03

关键字…………………………………………………………………………………………02

第一章 系统的开发环境---------------------------------------8                                        

   1.1 系统的软件需求---------------------------------------8

   1.2 系统的硬件要求 --------------------------------------8

   1.3 实际开发环境 ----------------------------------------8

第二章系统的开发工具----------------------------9

    2.1.1  ASP简介 ----------------------------------10

    2.1.2  ASP的技术特点-------------------------10

    2.2  ASP几个主要对象---------------------------------11

    2.3  ASP的脚本语言、变量、过程-------------------------------12

    2.4  ASP与数据库的连接--------------------------------------14

    2.5  ASP最突出的优点----------------------------------15

    2.6  ASP的主要缺点-------------------------------------15

第三章实验环境的建立--------------------------------15

  3.1 IIS ----------------------------------16   

    3.1.1 IIS简介----------------------------------16

    3.1.2  IIS的如何安装----------------------------------17

    3.1.3  IIS虚拟目录的配置---------------------------------18

  32 SQL Server的安装与配置------------------------------------19

3.2.1  SQL Server数据库简介-----------------------------------------19

3.2.2  安装与配置 ---------------------------------------------------19

3.2.3数据库的建立----------------------------------------------------19

 第四章  系统分析与设计---------------------------------------22

   4.1 系统设计--------------------------------------------25

     4.1.1目标设计 ---------------------------------------25

     4.1.2设计思想 ---------------------------------------26

     4.1.3系统功能设计 -----------------------------------29

   4.2 数据库设计与实现------------------------------------30

     4.2.1 数据库需求分析---------------------------------30

     4.2.2 数据库的逻辑设计-------------------------------30

     4.2.3 数据库的结构创建-------------------------------31

第五章 医药销售系统具体ASP实现------------------------------32

5.1  程序界面和源代码------------------------------32

 4.1全局参数代码------------------------------32

     4.2登录界面和代码------------------------------32

4.3系统管理界面和代码------------------------------32

  ----------------------------------------------------------------------------------------------------32

致谢词------------------------------------------------------------32

参考文献------------------------------------------------------------33

 

摘要

在医药经销企业的信息数字化过程中,计算机逐步代替手工操作完成业务数据的收集、存储和管理。随着该数据库应用的深入,以业务数据库为中心的企业运营环境逐步形成,同时,业务数据量也在与日剧增。企业的决策者已经不能从巨量的、内容单一的报表中获取支持决策的信息。因而,面向事务操作的传统数据库应用,已经不能满足医药经销企业的日常管理需求,企业迫切需要建立一种新的数据分析环境,以支持经营决策。

数据仓库 (DataW arehouse)技术以改进后的数据库技术作为存储数据和管理资源的技术手段,实现了数据处理的分析型环境和操作型环境的分离。建立一种企业级的、集成的、支持分析的数据集合。在此数据集合中,以联机分析处理、数据挖掘等数据分析技术,为医药经销企业提供全方面、深层次的数据展现平台。

关键词:数据仓库,联机分析处理,数据挖掘,业务数据库

 

 

 

 

 

 

 

 

 

Abstract

In the information digitization course of medicine enterprise of

Selling on commission,the computer substitutes for the manual operations to accomplish the collection, storeage and management of business data step by step. Along with this database application goes deep into, the central enterprise environment of running also forms step by step, and at the same time; the capacity of business data increase sharply day by day. The policymaker of enterprise can hardly get the supporting information from the database reports with huge

capacity and single content. In that, the traditional database application couldn't satisfy the day-to-day management requirement of medicine enterprise of selling on commission. The enterprise  

urgently needs to build a kind of new data analytical environmentin order to make policy to support the management.

The Data Warehouse technology collects data and manages resources

With the database technology after the improvement, and has realized the separation of the data analytical environment and the data

Operational environment.It is an effective method of analyzing data

and distilling information with the statistical analysis technology. Using Data Warehouse technology, the rule was found behind the data by way of artificial intelligence, neural net and knowledge reasoning. The Data Warehouse transforms data to information, transforms

information to knowledge, mades up the weaker shortcoming of the ability of traditional database application at the aspect of the analysis of data, and provides the supporting of various hierarchy for the policymaker.

Key Words:Data Online Analytical Processing,Data Mining,Business

Database

 

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