Big Data, Data Analytics and External Auditing

D. Balios, Panagiotis Kotsilaras, N. Eriotis, D. Vasiliou
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引用次数: 11

Abstract

 Big Data and Data Analytics affect almost all aspects of modern organisations’ decision-making and business strategies. Big Data and Data Analytics create opportunities, challenges, and implications for the external auditing procedure. The purpose of this article is to reveal essential aspects of the impact of Big Data and Data Analytics on external auditing. It seems that Big Data Analytics is a critical tool for organisations, as well as auditors, that contributes to the enhancement of the auditing process. Also, legislative implications must be taken under consideration, since existing standards may need to change. Last, auditors need to develop new skills and competence, and educational organisations need to change their educational programs in order to be able to correspond to new market analytics are altering the way the audit process is done at both the transaction and general-ledger levels. Auditors have new tools to extract and visualise data, allowing them to dig into larger, non-traditional data sets and perform more intricate analysis. (PwC, 2015)
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大数据、数据分析和外部审计
 大数据和数据分析影响着现代组织决策和商业战略的几乎所有方面。大数据和数据分析为外部审计程序创造了机遇、挑战和影响。本文的目的是揭示大数据和数据分析对外部审计影响的基本方面。大数据分析似乎是组织和审计师的关键工具,有助于加强审计流程。此外,由于现有标准可能需要改变,因此必须考虑立法影响。最后,审计师需要培养新的技能和能力,教育组织需要改变他们的教育计划,以便能够适应新的市场分析。分析正在改变交易和总账层面的审计流程。审计人员有了新的工具来提取和可视化数据,使他们能够挖掘更大的非传统数据集,并进行更复杂的分析。(普华永道,2015)
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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