Global Advanced Research Journal of Management and Business Studies (GARJMBS) ISSN: 2315-5086
May 2017 Vol. 6(3), pp. 043-051
Copyright © 2017 Global Advanced Research Journals

Full Length Research Paper  

Business Intelligence Against Big Data Approaches From Theory to Application

Adel A. Alyoubi, Ph.D

University of Jeddah, Jeddah, Saudi Arabia

E-mail: aaaalyoubi1@uj.edu.sa

Accepted 08 June, 2017

Abstract

Big data is not a new topic where the analysis of the data and extract the underlying knowledge become the main concern for every business. So, the main objective of this paper is to discuss and identify the variance between Business Intelligence (BI) and big data approaches as Business Intelligence has been one of the most important sources of knowledge in the business during the last two decades. The importance of this lies in considering BI contributed significantly to the decision-making and forecasting events as well as relying on the analysis of the processes that take place within the business of buying and selling and the like, and over a relatively long period of time. The way that decision-making of different kinds has been applied in any company mainly depends on the aggregate information is treated (processed) to get the result of a decision and that the lack of adequate information, accurate and correct may lead to decisions that were not a failure, it may be more like a non-random guaranteed results.

Keywords: XML, Hadoop, Big Data and Business Intelligence (BI), Decision Making, OLAP