Investigating Business Intelligence in the era of Big Data: concepts, benefits and challenges

Hicham El Bousty, S. Krit, M. Elasikri, Hassan Dani, K. Karimi, K. Bendaoud, M. Kabrane
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引用次数: 11

Abstract

Business intelligence suppose retrieving value from data floating in the organization environment. It provides methods and tools for collecting, storing, formatting and analyzing data for the purpose of helping managers in decision-making. At the start, only data from enterprise internal activities were examined. Now and in this turbulent business environment, organizations should incorporate analysis of the huge amount of external data gathered from multifarious sources. It is argued that BI systems accuracy depends on quantity of data at their disposal, yet some storage and analysis methods are phased out and should be reviewed by academics and practitioners. This paper presents an overview of BI challenges in the context of Big Data (BD) and some available solutions provided, either by using Cloud Computing (CC) or improving Data Warehouse (DW) efficiency.
大数据时代的商业智能研究:概念、利益和挑战
业务智能假定从组织环境中浮动的数据中检索值。它提供了收集、存储、格式化和分析数据的方法和工具,以帮助管理者进行决策。一开始,只检查企业内部活动的数据。现在,在这个动荡的商业环境中,组织应该对从各种来源收集的大量外部数据进行分析。有人认为,商业智能系统的准确性取决于其处理的数据量,但一些存储和分析方法已经被淘汰,应该由学者和从业者进行审查。本文概述了大数据(BD)背景下的商业智能挑战,并提供了一些可用的解决方案,无论是使用云计算(CC)还是提高数据仓库(DW)效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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