商业智能过程建模:迈向智能数据驱动策略

A. Najdawi, Sree karan Patkuri
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引用次数: 0

摘要

本文旨在提供商业智能流程的最新概念,以及如何将操作数据转化为有价值的见解,以增强业务流程设计并获得战略竞争优势。当前的研究将回顾以往的研究,利用新兴技术,如应用人工智能、机器学习和大数据分析,有效地采用和实施数据驱动的智能决策策略。这项工作的贡献将是使用概念映射工具构建现代商业智能流程的更新概念框架。这样的概念框架将为该领域的未来研究项目提供新的视角,并帮助BI从业者和组织计划、开发和实施大数据战略,从而在决策和创新方面获得竞争优势。此外,本文还探讨了智能业务决策的过程、用于做出智能业务决策的各种工具和技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Business Intelligence Process: Toward Smart Data-Driven Strategies
This paper aims to provide an updated conceptualization of the Business Intelligence Process in general and how the operational data are transformed into valuable insights to enhance business processes design and achieve strategic competitive advantage. The current research will review previous studies on effectively adopting and implementing data-driven strategies for intelligent decision-making using emerging technologies such as Applied Artificial Intelligence, Machine Learning, and Big Data Analytics. This work’s contribution will be an updated conceptual framework of the modern Business Intelligence Process constructed using the concept mapping tool. Such a conceptual framework will provide a fresh look into future research projects in this area and help BI practitioners and organizations plan, develop, and implement big data strategies to gain a competitive advantage in decision-making and innovation over their competitors. Additionally, this paper explores the process of Intelligent Business decisions, the various tools, techniques used for making an Intelligent Business decision.
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