大数据时代的商业智能:分析工具与竞争优势综述

Adebunmi Okechukwu Adewusi, Ugochukwu Ikechukwu Okoli, Ejuma Adaga, Temidayo Olorunsogo, Onyeka Franca Asuzu, Donald Obinna Daraojimba
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引用次数: 0

摘要

在当代商业环境中,大数据的激增彻底改变了企业收集、处理和利用信息进行战略决策的方式。本文全面概述了商业智能(BI)在利用大数据潜力方面不断演变的作用,以及随后对获得竞争优势的影响。本文深入探讨了为处理数字时代产生的大量数据而出现的各种分析工具。从传统的报告和查询到高级分析、机器学习和预测建模,企业现在有无数的选择来从其数据储备中提取有价值的见解。本文研究了这些工具在大数据背景下的效率、可扩展性和适应性,强调了它们在将原始数据转化为可操作智能方面的作用。此外,本文还探讨了商业智能和大数据分析的整合如何有助于企业发展竞争优势。利用不同数据源的洞察力可为企业提供有关市场趋势、消费者行为和运营效率的整体视角。这反过来又使决策者能够做出明智而及时的选择,提高组织的整体灵活性和对市场动态的响应能力。研究还强调了在大数据时代实施商业智能所面临的挑战,包括与数据质量、安全性和对熟练专业人员的需求有关的问题。本文讨论了应对这些挑战的有效解决方案,强调了健全的数据治理框架和持续的人才培养投资的重要性。本文强调了商业智能在利用大数据潜力获得竞争优势方面的关键作用。在企业应对现代商业环境的复杂性时,明智地使用分析工具以及将商业智能与大数据分析相结合,是做出明智决策和实现可持续成功的关键驱动力。关键词商业智能 大数据 分析工具 商业 人工智能 评论
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BUSINESS INTELLIGENCE IN THE ERA OF BIG DATA: A REVIEW OF ANALYTICAL TOOLS AND COMPETITIVE ADVANTAGE
In the contemporary business landscape, the proliferation of Big Data has revolutionized the way organizations gather, process, and utilize information for strategic decision-making. This paper provides a comprehensive overview of the evolving role of Business Intelligence (BI) in harnessing the potential of Big Data and the subsequent impact on gaining a competitive advantage. The review delves into the arsenal of analytical tools that have emerged to handle the vast volumes of data generated in the digital age. From traditional reporting and querying to advanced analytics, machine learning, and predictive modeling, organizations now have a myriad of options to extract valuable insights from their data reservoirs. This paper investigates the efficiency, scalability, and adaptability of these tools in the context of Big Data, emphasizing their role in transforming raw data into actionable intelligence. Furthermore, the paper explores how the integration of BI and Big Data analytics contributes to the development of a competitive edge for businesses. The ability to harness insights from diverse data sources provides organizations with a holistic view of market trends, consumer behavior, and operational efficiency. This, in turn, empowers decision-makers to make informed and timely choices, enhancing overall organizational agility and responsiveness to market dynamics. The study also highlights the challenges associated with implementing BI in the era of Big Data, including issues related to data quality, security, and the need for skilled professionals. Effective solutions to these challenges are discussed, emphasizing the importance of a robust data governance framework and continuous investment in talent development. This paper underscores the pivotal role of Business Intelligence in leveraging the potential of Big Data for gaining a competitive advantage. As organizations navigate the complexities of the modern business landscape, the judicious use of analytical tools and the integration of BI with Big Data analytics stand as key drivers for informed decision-making and sustainable success. Keywords: Business Intelligence, Big Data, Analytical Tool, Business, AI, Review.
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