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The Evolution of Business Intelligence: From Historical Data Mining to Mobile and Location-based Intelligence

机译:商业智能的演变:从历史数据挖掘到移动和基于位置的智能

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Business Intelligence (BI) is today seen as a basis for intelligent business and enterprise systems development and design. But, from the time of its birth in late eighties until nowadays business intelligence has passed a long way. The primary interest of scientists in this field was knowledge discovery. Although the first efforts of scientists were originally oriented towards general knowledge discovery principles and methods soon it became obvious that application of these principles and methods in business environment is perhaps the most promising development perspective. The strong impetus for further research came from Howard Dresner who proposed 'Business Intelligence' (BI) as an umbrella term to describe concepts and methods to improve business decision making by using fact- and knowledge-based support systems. From that time Business Intelligence rapidly evolved through several stages depending on technology used. Improvements in subsequent phases do not derogate those of previous ones but rather complement them, so that BI becomes more and more complex and sophisticated.
机译:商业智能(BI)今天被视为智能业务和企业系统开发和设计的基础。但是,从八十年代末期出生时,直到现在的商业智能已经过去了很长的路。科学家在这一领域的主要兴趣是知识发现。虽然科学家的第一次努力最初朝向一般知识发现原则和方法很快,但很明显,这些原则和在商业环境中的应用可能是最有前途的发展观点。进一步研究的强大动力来自霍华德Dresner,他提出了“商业智能”(BI)作为伞术语来描述通过使用基于事实和知识的支持系统来改善业务决策的概念和方法。从那个时候,商业智能通过几个阶段迅速发展,这取决于所使用的技术。随后阶段的改进不会减少以前的阶段,而是相当补充它们,因此BI变得越来越复杂和复杂。

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