A Comprehensive Study on Implementing Big Data in the Auditing Industry

Patel, Salonee V.; Shah, Manan

doi:10.1007/s40745-022-00430-8

Cited by 3 publications

(4 citation statements)

References 38 publications

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“…Nonetheless, the application of BDA in auditing seems to lag behind other research streams [50,53]. Furthermore, extant studies do not address the necessity of implementing BDA by companies.…”

Section: -Background On Big Data and Data Analytics In Auditingmentioning

confidence: 98%

“…Furthermore, updated standards may facilitate addressing the auditing profession's clear unwillingness to use BDA [50]. The last research stream elaborates on the technological challenges that companies have to face when employing BDA, particularly regarding continuous auditing technology [53,79,80] and BD techniques [50,75]. Accordingly, the audit analytics used in many audit stages have been classified [52].…”

Section: -1-data Analytics In Auditing Firms and Research Directionmentioning

confidence: 99%

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Big Data Analytics and Auditing: A Review and Synthesis of Literature

Hezam

Anthonysamy²,

Devi³

2023

Emerg Sci J

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The use of data analytics in auditing is increasingly growing. The application of common data analytics to audit engagements appears to be lagging behind other areas of practice, even though data analytics is thought to represent the future of audit, and there are still few publications that have examined this influence. This article reviews data analytics in audits and its potential for future audit engagements to describe the evolution of this research trend and picture its future growth directions. Future audit research potential and difficulties are also discussed. Data analytics application in auditing has enormous potential for refining audit quality, decreasing errors, increasing process transparency, and enhancing stakeholders’ confidence. We conducted a systematic literature review using the PRISMA approach. A total of 100 articles published in English from January 2011 to November 2021 were identified through a systematic search of reputed databases, including Web of Science and Scopus and many others. Our analysis reveals that data analytics is a promising domain for the auditing practice as it improves audit efficiency and promotes audit work digital transformation. While reviewing the most pertinent literature in the context of data analytics in auditing, this study offers insights on potential new directions and waning views on big data analytics in auditing. Doi: 10.28991/ESJ-2023-07-02-023 Full Text: PDF

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Section: -Background On Big Data and Data Analytics In Auditingmentioning

confidence: 98%

Section: -1-data Analytics In Auditing Firms and Research Directionmentioning

confidence: 99%

Big Data Analytics and Auditing: A Review and Synthesis of Literature

Hezam

Anthonysamy²,

Devi³

2023

Emerg Sci J

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“…Conducting regular security audits and implementing continuous monitoring systems help identify and address vulnerabilities or suspicious activities promptly. Regular security audits and monitoring in big data are crucial components of maintaining a robust cyber-security posture [126], [127]. Figure 4 presents some of the concepts in security audit and monitoring.…”

Section: Regular Security Audits and Monitoringmentioning

confidence: 99%

Tackling security and privacy challenges in the realm of big data analytics

Janet Ngesa

2023

World J. Adv. Res. Rev.

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As organizations increasingly harness the power of big data analytics to derive insights and drive decision-making, the paramount concerns of security and privacy have come to the forefront. This paper presents a comprehensive framework for addressing the multifaceted challenges of big data security and privacy. Drawing on a synthesis of cutting-edge technologies, encryption methods, and access control mechanisms, our approach aims to fortify the entire big data lifecycle. The paper delves into innovative strategies for secure data storage, transmission, and processing, ensuring that sensitive information is shielded from unauthorized access or malicious attacks. Additionally, the framework incorporates robust privacy-preserving techniques, including anonymization and differential privacy, to uphold individual confidentiality. Through a meticulous analysis of current trends, emerging threats, and regulatory landscapes, this paper not only provides theoretical insights but also practical guidelines for organizations seeking to navigate the intricate landscape of big data while safeguarding the integrity, security, and privacy of the vast datasets at their disposal.

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“…One of them is the continuous auditing methodology which has data analysis features in carrying out the audit process [2]. It is different from the traditional audit methodology or also called conventional audit which has drawbacks because it can increase the possibility of errors by the auditors [3]. A large UPT is not always good and must be a concern for the auditor who needs to analyze the possibility of fraud.…”

Section: Introductionmentioning

confidence: 99%

Trend of Continuous Auditing Research: A Bibliometric Analysis

Bassasan,

Ismail,

Taqi

et al. 2023

Proceedings of the International Conference on Sustainability in Technological, Environmental, Law, Management, Social and Econ

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The purpose of this study was to find out how the development of citations, publication trends, a collaboration of authors, trends in title terms, and trends in keyword terms in Continuous Auditing articles (2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021)(2022). Data collection using publish or perish (PoP) software in bibliographic search as the initial database on Scopus. The results showed that from 200 scopus papers, the number of citations 2,5781 citations, with an average annual citation of 2915 citations, 14.58 citations per paper, and an average h-index of 26. The highest citations with authors from various countries; C. Sarkar (115 cites, rank 1). The most frequently used term in the title is continuous auditing with 27 items. It can be concluded that the trend of continuous auditing research is that various aspects are developed in preventing company failures and financial statement errors in the future.

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A Comprehensive Study on Implementing Big Data in the Auditing Industry

Cited by 3 publications

References 38 publications

Big Data Analytics and Auditing: A Review and Synthesis of Literature

Big Data Analytics and Auditing: A Review and Synthesis of Literature

Tackling security and privacy challenges in the realm of big data analytics

Trend of Continuous Auditing Research: A Bibliometric Analysis

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