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词典释义:
business intelligence
时间: 2023-09-24 22:17:34
英 [ˈbɪznəs ɪnˈtɛlɪdʒ(ə)ns]
美 [ˈbɪznəs ɪnˈtɛlədʒəns]

商业智能;业务智能;商务智能

双语例句
  • What is Business Intelligence?

    商业智能是什么?

  • This is the next "hot spot" of business intelligence.

    这是商业智能的下一个“热点”。

  • One of the major themes for 2010 was using data not just for analysis or business intelligence, but for telling stories.

    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。

  • This paper focuses on the application of Business Intelligence in Human Resource Management System.

    本文主要研究商业智能在人力资源管理系统中的应用。

  • This section provides tools and techniques to consider as you apply business intelligence to your information architecture design.

    本部分提供在向信息架构设计应用商业智能时要考虑的工具和技术。

  • Over the coming several months, business intelligence will experience change that will have broad, deep and lasting impact.

    在未来的几个月里,商业智能将经历的变化,有广泛,深入和持久的影响。

  • A data warehouse should have all the components in the business intelligence infrastructure pictured in the figure above.

    数据仓库应具有上图中所描述的商业智能基础设施中的所有组件。

  • While departments such as sales might be the most obvious beneficiaries of business intelligence information, don't overlook departments such as manufacturing, shipping, human resources, and so on.

    虽然诸如销售等部门可能是商业智能信息的最明显受益者,但是也不要忽略诸如制造、运输、人力资源等部门。

  • From there, the data was delivered to business intelligence (BI) tools for analysis, and through more ETL filters to various datamarts.

    从那里,数据被传送到商业智能(BI)工具进行分析,通过更多的ETL过滤器传送到各种数据集市。

  • How to model a data warehouse is probably one of the most controversial issues in the business intelligence field, and this article does not enter that discussion.

    如何进行数据仓库的建模可能是商业智能领域中最有争议的问题之一,而本文不会进行这方面的讨论。

  • That's one aspect of business intelligence.

    这是商业智能的一个方面。

  • Data is loaded through standard extract, transform, and load (ETL) connectors, and is then available for queries from business intelligence and analytics applications.

    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。

  • Business intelligence is a new development segment of decision support system .

    商业智能是决策支持系统发展的新阶段。

  • Business Intelligence is an art that gains advantage of business from vast data.

    商务智能是从海量数据中获取商业优势的艺术。

  • 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.

    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。

  • These data can enable companies to quickly solve the problem of low efficiency, save time and money to support business intelligence.

    这些数据可以使公司更快地解决低效率问题,节省时间和金钱,支持商业智能。

  • The evolution of business intelligence begins with a definitional shift.

    商业智能的演变开始于定义的转变。

  • Thirdly, this paper introduces the general structure and main functions of analysis-based CRM, and expatiates business intelligence technology applied by analysis-based CRM system.

    再次,介绍了分析型CRM的一般结构和主要功能,并对分析型CRM所采用的商业智能技术进行了详细阐述。

  • 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。

  • I also think there's a business intelligence breakthrough afoot that will bring these same concepts of intuitive software specifically to the BI arena.

    同时我认为一场商业智能(BI)的革命正在蓄势待发,这会将上述直观软件的概念带到商业智能领域中来。

  • It's a lot to think about, but in the following sections I'll give you a few ideas that should help you use business intelligence to your organization's advantage.

    要考虑的事情太多,但是在下面几个部分中,我将介绍一些应该会帮助您以有利于组织的方式使用商业智能的思想。

  • Active and real-time decision is an important target in business intelligence.

    实现主动实时决策是商业智能的一个重要目标。

  • At the same time, business intelligence-based workloads may benefit from larger pages sizes as more data can be stored on a page that is often scanned, aggregated, or sorted, and so on.

    同时,基于商业智能的工作负载可能受益于较大的页面大小,因为在经常进行扫描、聚集或排序等的一页上可以存储更多数据。

百科

BI是Business Intelligence的英文缩写,中文解释为商务智能,用来帮助企业更好地利用数据提高决策质量的技术集合,是从大量的数据中钻取信息与知识的过程。简单讲就是业务、数据、数据价值应用的过程。

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