BI实践的趋势商业智能分析技术，显示了在正确方向的变化。
Trends in BI practices and in analytic technologies show movement in the right direction.
2010年在数据使用方面的一大主题不仅限于分析和商业智能，而更多应用于讲故事。
One of the major themes for 2010 was using data not just for analysis or business intelligence, but for telling stories.
商业智能不只是在事后分析和报告信息的手段。
Business intelligence is not just a means of analyzing and reporting information after the fact.
数据通过标准的提取、转换和加载(etl)连接器加载，然后可供商业智能和分析应用程序进行查询。
Data is loaded through standard extract, transform, and load (ETL) connectors, and is then available for queries from business intelligence and analytics applications.
您使用的任何商业智能解决方案都应该提供强大的分析功能。
Any business intelligence solution that you use should provide strong analytic capabilities.
IBMCognosBI是一个商业智能工具，支持基于用户请求创建和分析公司级报告、记分卡和事件通知。
IBM Cognos BI is a business intelligence tool that enables creating and analyzing company wide reports, score CARDS and event notifications based on user request.
IBMCognosBusinessIntelligence是一个基于Web的商业智能解决方案，包含集成报告、分析、记分卡和事件管理特性。
IBM Cognos business intelligence is a Web-based business intelligence solution with integrated reporting, analysis, score-carding, and event management features.
商业智能(BI)是指用于报表和分析数据的技术，包括识别趋势和模式，以便制定更好的商业战略决策。
Business intelligence (BI) refers to technologies that are used for reporting and analyzing data, including recognizing trends and patterns, to make better strategic business decisions.
MetadataWorkbench用户可以创建数据沿袭报告，分析数据从数据源到作业和准备阶段，再到数据库、数据文件和商业智能化报告的整个流动过程。
Metadata workbench users can create reports that analyze the flow of data from data sources, through jobs and stages, and into databases, data files, and business intelligence reports.
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。
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.
这肯定不是一个详尽的清单，但各种产品的样品，能够塑造未来的分析和改变着商业智能的面孔。
This is certainly not an exhaustive list, but a sample of the kinds of products that are shaping the future of analytics and changing the face of business intelligence.
由于数据分析、商业智能以及决策软件能更好地胜任工作而且成本低廉，所有甚至连专业人员都不能幸免于当前的自动化潮流。
As data-analytics, business-intelligence and decision-making software do a better and cheaper job, even professionals are not immune to the job-destruction trend now underway.
OLAP定位于商业智能领域，进行探索数据，它处理，分析收集的信息可能会进一步被用来促进与支撑业务上的决策。
OLAP falls in the domain of business intelligence, where data is explored, processed, and analyzed to glean information that could further be used to drive business decisions.
商业智能的能力，复杂的分析结果和行为。
Business Intelligence capabilities for complex analysis of results and behaviour.
在商务智能系统中，联机分析处理和数据挖掘是针对商业数据的分析工具。
OLAP and DM are analytical tools aiming at business data in the business intelligence system.
摘要：在介绍了商业智能的核心技术和体系结构包括数据仓库、联机分析处理、数据挖掘等的基础上。
Absrtact: Introduces the main technology and system structure of business intelligence including data warehouse (DW), OLAP and data mining.
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。
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.
商业智能的支撑技术包括数据仓库、联机分析处理和数据挖掘。
Data Warehouse, Online Analytical Processing and Data Mining constitute the supporting technology for BI.
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。
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.
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