Business Intelligence using Data Mining Techniques and Business Analytics

被引：0

作者：

Mishra, Brojo Kishore ^{[1
]}

Hazra, Deepannita ^{[1
]}

Tarannum, Kahkashan ^{[1
]}

Kumar, Manas ^{[1
]}

机构：

[1] CV Raman Coll Engn, Dept IT, Bhubaneswar, Orissa, India

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON SYSTEM MODELING & ADVANCEMENT IN RESEARCH TRENDS (SMART-2016) | 2016年

关键词：

Business Intelligence; Data Mining; Business Analytics;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：84 / 89

页数：6