An Ontology-based Collaborative Business Intelligence Framework

IF 2.2 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Data Pub Date : 2023-07-04 DOI:10.48550/arXiv.2307.01568
M. Fahad, J. Darmont
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引用次数: 0

Abstract

Business Intelligence constitutes a set of methodologies and tools aiming at querying, reporting, on-line analytic processing (OLAP), generating alerts, performing business analytics, etc. When in need to perform these tasks collectively by different collaborators, we need a Collaborative Business Intelligence (CBI) platform. CBI plays a significant role in targeting a common goal among various companies, but it requires them to connect, organize and coordinate with each other to share opportunities, respecting their own autonomy and heterogeneity. This paper presents a CBI platform that hat democratizes data by allowing BI users to easily connect, share and visualize data among collaborators, obtain actionable answers by collaborative analysis, investigate and make collaborative decisions, and also store the analyses along graphical diagrams and charts in a collaborative ontology knowledge base. Our CBI framework supports and assists information sharing, collaborative decision-making and annotation management beyond the boundaries of individuals and enterprises.
基于本体的协同商业智能框架
商业智能包括一组方法和工具,用于查询、报告、在线分析处理(OLAP)、生成警报、执行业务分析等。当需要由不同的协作者共同执行这些任务时,我们需要一个协作式商业智能(CBI)平台。CBI在各公司之间寻找共同目标方面发挥了重要作用,但它要求企业之间相互联系、组织和协调,共享机会,尊重企业自身的自主性和异质性。本文提出了一个CBI平台,该平台允许BI用户在协作者之间轻松连接、共享和可视化数据,通过协作分析获得可操作的答案,调查和做出协作决策,并将分析结果以图形图和图表的形式存储在协作本体知识库中,从而使数据民主化。我们的CBI框架支持和协助超越个人和企业边界的信息共享、协同决策和注释管理。
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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来源期刊
Data
Data Decision Sciences-Information Systems and Management
CiteScore
4.30
自引率
3.80%
发文量
0
审稿时长
10 weeks
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