首页> 外文期刊>Journal of information technology case and application research >COGNIZANT TECHNOLOGY SOLUTIONS: GROWTH AND TRANSFORMATION OF ITS DATA WAREHOUSING AND BUSINESS INTELLIGENCE DIVISION RESEARCH NOTE
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COGNIZANT TECHNOLOGY SOLUTIONS: GROWTH AND TRANSFORMATION OF ITS DATA WAREHOUSING AND BUSINESS INTELLIGENCE DIVISION RESEARCH NOTE

机译:认知技术解决方案:其数据仓库和业务智能部门研究的发展和转变

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摘要

While the term Business Intelligence is relatively new, computer-based business intelligence systems appeared, in one guise or the other, close to forty years ago. BI, as a term, replaced decision support, executive information systems, and management information systems (Thomsen, 2003). Business Intelligence (BI) as a term was coined in the early 1990s by Howard Dressner, then an analyst at the Gartner Group. BI is now widely used, especially in the world of practice, to describe analytic applications. Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers and is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; the actions of competitors and the implications of these actions (Negash, 2004). Smart companies in the 21st century use business intelligence (BI) solutions to gain a clearer picture of their internal operations, customers, supply chain, and financial performance. BI solutions create learning organizations by enabling companies to follow a virtuous cycle of collecting and analyzing information, devising and acting on plans, and reviewing and refining the results. To support this cycle and gain the insights BI delivers, organizations need to implement a BI system comprised of data warehousing and analytical environments.
机译:虽然“商业智能”一词相对较新,但近四十年前,以一种或另一种伪装出现了基于计算机的商业智能系统。术语BI取代了决策支持,执行信息系统和管理信息系统(Thomsen,2003年)。商业智能(BI)一词由1990年代初的霍华德·德纳(Howard Dressner)提出,当时是加特纳集团(Gartner Group)的分析师。 BI现在被广泛用于描述分析应用程序,尤其是在实践世界中。商业智能系统将运营数据与分析工具结合起来,以向计划者和决策者提供复杂的竞争性信息,并用于了解公司的可用功能;公司竞争的市场,技术和监管环境的最新状态,趋势和未来方向;竞争对手的行为以及这些行为的含义(Negash,2004年)。 21世纪的明智公司使用商业智能(BI)解决方案来更清晰地了解其内部运营,客户,供应链和财务绩效。 BI解决方案通过使公司能够遵循收集和分析信息,制定计划并根据计划采取行动以及审查和完善结果的良性循环来创建学习型组织。为了支持此周期并获得BI提供的见解,组织需要实施一个由数据仓库和分析环境组成的BI系统。

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