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Implementing big data strategies: A managerial perspective

机译:实施大数据战略:管理视角

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Despite considerable recent advances in big data analytics, there is substantial evidence that manyorganizations have failed to incorporate them effectively in their own decision-making processes. Advancing the existing understandings, this article lays out the steps necessary to implement big data strategies successfully. To this end, we first explain how the big data analytics cycle can provide useful insights into the characteristics of the environments in which many organizations operate. Next, we review some common challenges faced by many organizations in their uses of big data analytics and offer specific recommendations for mitigating them. Among these recommendations, which are rooted in the findings of strategy implementation research, we emphasize managerial responsibilities in providing continued commitment and support, the effective communication and coordination of efforts, and the development of big data knowledge and expertise. Finally, in order to help managers obtain a fundamental knowledge of big data analytics, we provide an easy-to-understand explanation of important big data algorithms and illustrate their successful applications through a number of real-life examples. (C) 2019 Kelley School of Business, Indiana University. Published by Elsevier Inc. All rights reserved.
机译:尽管最近在大数据分析方面取得了长足的进步,但有大量证据表明,许多组织未能将其有效地纳入自己的决策过程中。为了增进现有的理解,本文列出了成功实施大数据策略所需的步骤。为此,我们首先说明大数据分析周期如何提供有用的见解,以了解许多组织在其中运行的环境的特征。接下来,我们回顾了许多组​​织在使用大数据分析时面临的一些常见挑战,并提出了缓解这些挑战的具体建议。在这些建议中,这些建议都植根于战略实施研究的结果中,我们强调管理责任,包括提供持续的承诺和支持,有效的沟通和协作,以及大数据知识和专业技能的发展。最后,为了帮助管理人员获得有关大数据分析的基础知识,我们对重要的大数据算法进行了简单易懂的解释,并通过许多实际示例说明了它们的成功应用。 (C)2019印第安纳大学凯利商学院。由Elsevier Inc.出版。保留所有权利。

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