期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：12
页码：816-821
DOI：10.35629/5252-0212665673
语种：English
出版社：IJAEM JOURNAL
摘要：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. Methods of Business Intelligence include retrieval of information, mining data, analysing statistical data and visualisation of data. Statistical analysis of digital data is very much fast. Large amount of data is accessed in different formats from heterogeneous sources. Collected data is consolidated and analysed that is key of business intelligence. Digital data can be correlated very easily within databases of companies. Management and processing of all kinds of documentations has been automated which has reduced paper work Data mining techniques in real are applicable on only digital data.
关键词：Digitalization of Data;Business Intelligence;Data Mining;Business Analytics
