Big Data Management and Analytics in the Era of Artificial Intelligence

P. G. Tandale, Anjali Sandeep Gaikwad, Mukund Kulkarni, Sampada Santosh Gulavani, Bajirao Rajaram Patil
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引用次数: 1

Abstract

Big Data (BD) have lately piqued the interest of both academicians and practitioners due to their ability to provide valuable insights for improved decision-making processes. With the goal of creating useful information from huge data, data analytics is fast becoming a popular discipline that many businesses are implementing. Although, the analytics process, such as the implementation and usage of Big Data Analytics (BDA) technologies, has positive influence on the organizational performances, develop new income streams, potentially gain a competitive edge over business rivals, businesses view it as a tool to enhance operating effectiveness. There are several analytic techniques to take into account, though. Given the significance of BD as well as BDA, this article presents a state-of-the-art research that gives a thorough overview of the BD challenges and BDA strategies posited, supported, and employed by businesses to help others better comprehend this environment and make better financial decisions.
人工智能时代的大数据管理与分析
大数据(BD)最近引起了学者和从业者的兴趣,因为它们能够为改进决策过程提供有价值的见解。为了从海量数据中创建有用的信息,数据分析正迅速成为许多企业正在实施的一门流行学科。虽然分析过程,如大数据分析(BDA)技术的实施和使用,对组织绩效有积极影响,开发新的收入流,潜在地获得竞争优势,但企业将其视为提高运营效率的工具。不过,有几种分析技术需要考虑。鉴于业务流程管理和业务流程管理的重要性,本文介绍了一项最新的研究,全面概述了业务流程管理的挑战,以及企业提出、支持和采用的业务流程管理策略,以帮助其他人更好地理解这种环境,做出更好的财务决策。
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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