Cloud analytics provide a business intelligence (BI) reporting engine without the overhead and cost to install and maintain a traditional reporting engine.
云分析提供一种业务智能(BI)报告引擎，无需安装和维护传统报告引擎时所需的开销和成本。
The most common reason is the need to feed legacy SQL applications, packaged business applications and business intelligence (BI) tools that consume only relational data.
最常见的原因是需要向仅使用关系数据的遗留SQL应用程序、打包业务应用程序和商业智能 (BI)工具馈送数据。
For instance, data warehousing and business intelligence (BI) are generally adequate with the data consolidation pattern, whereas business application groups are good at EAI.
例如，数据仓库和业务智能(Business Intelligence,BI)部门通常擅于使用数据整合模式，而业务应用部门则擅长使用eai模式。
In communication Breakdown 2 Rick Sherman indicates that one of the greatest risks to business intelligence (BI) projects, of which DW projects are a subset, is poor communication.
在CommunicationBreakdown2中，RickSherman指出对于商业智能(business intelligence,BI)项目(DW项目是其的子集)的最大风险之一是缺乏沟通。
Together, these two products enable it specialists to build Business Intelligence (BI) reports with the globalization feature effectively.
这两个产品结合起来，使得IT专家能够有效地构建具有全球化特性的商业智能(BI)报表。
Such features are especially important in the burgeoning areas of business intelligence (BI) and Web 2.0 content creation and delivery.
这些特性对处于萌芽阶段的商业智能(BI)和Web 2.0内容的创建和交付尤为重要。
Business Intelligence (BI) is the gathering and analysis of vast amounts of data in order to gain insights that drive strategic and tactical business decisions.
商业智能(Business Intelligence,BI)是对于大量数据的收集和分析，以便洞悉如何驱动战略性和策略性商业决策。
The article provide an simple analysis on the application mode and implementation methods of BI (business intelligence) through a brief introduction of basic concepts with a standard BI.
本文在介绍商业智能基本概念的基础上，结合一个标准的BI，简要的分析了商业智能在应用模式和实施方法。
Business intelligence (BI) technologies in witch data warehouse as the core have become an increasing attention to the industry, many BI system has been put into use, has brought huge benefits.
以数据仓库为核心的商务智能(BI)技术日益受到业界重视，许多BI系统己经投入使用，带来了巨大的效益。
The first generation of Business Intelligence (BI 1.0) analyzed information involved in business oriented decisions, while the next generation (BI 2.0) helps make decisions as or before events happen.
第一代商业智能着重分析业务决策中涉及的数据与信息，而第二代商业智能则在事件发生时或发生之前辅助用户决策。
The first generation of Business Intelligence (BI 1.0) analyzed information involved in business oriented decisions, while the next generation (BI 2.0) helps make decisions as or before events happen.
第一代商业智能着重分析业务决策中涉及的数据与信息，而第二代商业智能则在事件发生时或发生之前辅助用户决策。
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