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Business Intelligence using Data Mining techniques and Business Analytics

机译:使用数据挖掘技术和业务分析的商业智能

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The objective of this paper is to present a review literature on what are impacts of Data Mining (DM) in Business Intelligence (BI). The paper highlights various features of DM. It involves three steps: explorations, pattern identification and deployment. BI is the hot topic among all industries aiming for relevance. BI emphasizes on detail integration and or organizing of data. DM and BI work together to process and analyse data to lighten workload for the user and organization and hence in understanding discovered materials. It also explains Business Analytics (BA) as a part of BI which is again dependent on BI. There are various sectors in business to which BA has proved to be a powerful tool to obtain effective results.
机译:本文的目的是提供关于数据挖掘(DM)在商业智能(BI)中的影响的综述文献。 本文突出了DM的各种特征。 它涉及三个步骤:探索,模式识别和部署。 BI是旨在相关的所有行业中的热门话题。 双强调详细集成和或组织数据。 DM和BI一起工作,以处理和分析数据以减轻用户和组织的工作量,从而在理解中。 它还向业务分析(BA)解释为BI的一部分,这是再次依赖BI。 业务中有各个部门,其中BA已被证明是获得有效结果的强大工具。

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