本文正是基于数据仓库技术来研究经营分析系统在企业的建设和应用。
The article analyze the application of BASS in enterprise on the base of the Data Warehouse.
描述了基于数据仓库技术的企业计量方案设计。
Describes based on the data warehouse technology enterprise measurement project design.
本文基于数据仓库中的数据挖掘技术，针对企业决策问题，讨论了如何有效地获取有关顾客信息及商品信息，以辅助决策者制定决策方案。
Based on data mining techniques in the data warehouse, this paper discusses how to obtain the information about products and customers effectively for the enterprise decision.
数据挖掘技术能有效地协助企业发现数据仓库数据中潜藏的特性曲线，这种曲线能帮助他们了解市场可能出现的变化。
It's helpful to find out the special curve which hide in the data Wavehouse's data through Datamining technology, the special curve can help people to analyse the changes of the market.
基于数据仓库的决策支持技术包括数据仓库、OLAP和数据挖掘，这些技术构成了新一代决策支持技术的三大支柱，解决了企业面临的战略性的问题。
The following important techniques: data warehouse, OLAP, data mining build up decision support technique based on data warehouse that solves the strategic problems to be faced by enterprises.
立足于解决企业在决策支持中数据泛滥而导致的信息匮乏，并引入空间数据仓库技术。
Space data warehouse technology is introduced on the basis of the lack of information, which results from the wasting of data when the problems of decision support are solved in enterprises.
实时数据仓库扩展了传统数据仓库的适用范围， 能给企业提供关于日常战术操作的技术支持。
Real-time data warehouse extends the application of traditional data warehouse and can support tactical queries for enterprise.
数据仓库是近年来新兴的一种企业信息系统建设的技术，它能把收集到的数据转变成有意义的可用于分析的信息。
Data Warehouse is a technology of constructing enterprise information system, which is a new development in recent years, and it can change the collected date into analytical meaningful information.
本文主要研究了数据仓库和数据挖掘技术在供水企业中的应用。
This paper researches the application of data warehouse, OLAP and data mining techniques in water supply systems.
基于数据仓库技术面向主题性、数据集成性、与时间相关和稳定性等特点，越来越受到企业的青睐。
Data Warehouse technology is taking the fancy of more and more enterprise because of theme-faced, data integrated, time-related and stability features.
随着数据仓库逐渐成为企业决策支持的重要技术手段，提高数据仓库的综合性能问题日益成为人们重视与关注的焦点之一。
As data warehouse became an important tool of decision making, how to improve the comprehensive performance of data warehouse is desiderated.
数据仓库是支持企业全局决策的有效技术。
Data warehousing is an effective technique for decision-making support in range of whole enterprise.
数据挖掘是一种潜在功能强大的新技术，它能帮助企业在数据仓库中找到最重要，最具价值的信息。
Data mining is a potential and powerful new technology. It can find most important and valuable information in data warehouse for enterprises.
针对矿山企业的数据特点和决策任务需求，建立了基于数据仓库技术的矿山企业决策支持系统。
In view of the data characteristics and the decision targets in mining enterprises, a decision support system based on data warehouse technology is established in this paper.
数据仓库技术与数据挖掘技术有机结合，可以有效地进行企业运作中的客户关系管理。
The good combination of data warehouse with data mining technology can effectively perform CRM in enterprise operation.
文章讨论了基于数据仓库技术的CIMS 数据环境结构，并提出了根据企业数据模型同时设计数据处理环境和分析环境的方法。
In this paper, we discuss the structure of data environment in CIMS based on data warehouse and present a method to design the operationa…
文章讨论了基于数据仓库技术的CIMS 数据环境结构，并提出了根据企业数据模型同时设计数据处理环境和分析环境的方法。
In this paper, we discuss the structure of data environment in CIMS based on data warehouse and present a method to design the operationa…
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