商业智能中数据管理的概念框架

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-10-06 DOI:10.3390/info14100547
Ramakolote Judas Mositsa, John Andrew Van der Poll, Cyrille Dongmo
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引用次数: 0

摘要

商业智能(BI)是指用于收集、集成、分析和呈现大量信息以改进决策的技术、工具和实践。现代BI体系结构通常由一个或多个数据集市组成的数据仓库组成,这些数据集市整合了来自多个操作数据库的数据。BI进一步整合了分析、数据管理和报告工具的组合,以及用于管理和分析数据的相关方法。BI计划的一个重要目标是改进组织的业务决策,以增加收入、提高运营效率并获得竞争优势。在本文中,我们定性地分析了文献中各种突出的商业智能(BI)框架,并从中开发了一个全面的BI框架。通过定性命题的技术,我们确定了上述BI框架的属性、各自的优点和可能的缺点,以开发一个主要针对数据管理的综合框架,结合各个框架的优点并消除其缺点。BI的前景是广阔的,因此作为一个限制,我们注意到新的框架是概念性的;因此,在此阶段不执行任何实现或任何定量测量。也就是说,我们的工作展示了独创性,因为它将许多BI框架组合成一个全面的框架,从而促进了概念性BI框架的开发。作为未来工作的一部分,新框架将被正式指定,随后是一个实践阶段,即在行业中进行案例研究,以帮助公司开发其BI应用程序。
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Towards a Conceptual Framework for Data Management in Business Intelligence
Business intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable improved decision-making. A modern BI architecture typically consists of a data warehouse made up of one or more data marts that consolidate data from several operational databases. BI further incorporates a combination of analytics, data management, and reporting tools, together with associated methodologies for managing and analyzing data. An important goal of BI initiatives is to improve business decision-making for organizations to increase revenue, improve operational efficiency, and gain a competitive advantage. In this article, we analyze qualitatively various prominent business intelligence (BI) frameworks in the literature and develop a comprehensive BI framework from these. Through the technique of qualitative propositions, we identify the properties, respective advantages, and possible disadvantages of the said BI frameworks to develop a comprehensive framework aimed mainly at data management, incorporating the advantages and eliminating the disadvantages of the individual frameworks. The BI landscape is vast, so as a limitation, we note that the new framework is conceptual; hence, no implementation or any quantitative measurement is performed at this stage. That said, our work exhibits originality since it combines numerous BI frameworks into a comprehensive framework, thereby contributing to conceptual BI framework development. As part of future work, the new framework will be formally specified, followed by a practical phase, namely, conducting case studies in the industry to assist companies in their BI applications.
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
期刊最新文献
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