Abstract
The current dispensation of information technology introduces a new era in accounting that is dominated by an excess supply of data in organizational systems. Big data in accounting implies huge sets of data that, upon analysis, reveal close relations. The paper shall depict the impression of big data on contemporary accounting. Besides, the role of data analytics in addressing big data feature in the paper. Moreover, the paper shall also present various approaches that can be adapted to address the emerging issue of big data in accounting based on the perceptions of various authors.
Annotated Bibliography
Richardson, V. J., & Shan, Y. (2019). Data Analytics in the Accounting Curriculum. Advances in Accounting Education: Teaching and Curriculum Innovations (Advances in Accounting Education, Vol. 23), Emerald Publishing Limited, 67-79.
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The article articulates the point that data analytics have a role in addressing the issue of big data in book-keeping. The authors of the article depict that data analytics in accounting should consider revising data processing strategies in case of big data to facilitate the efficient drawing of conclusions. The article is accurate in depicting that the current technological advancements facilitate the emergence of big data as a trend in accounting. The article is relevant to researchers that seek to establish the justification of big data as an emerging issue in contemporary accounting.
Dai, J., Vasarhelyi, M. A., & MEDINETS, A. (2019). Rutgers Studies in Accounting Analytics: Audit Analytics in the Financial Industry.
The main argument of the book is that reducing 'data noise' can aid in addressing the issues of big data in accounting. According to the authors of the book, 'data noise' implies to the unnecessary data that might be exhausting the existent capacity. The book emphasizes auditing as a method of reviewing the available data to eliminate potential 'data noise'. The authors of the text vehemently hold that reduction of 'data noise' through credible data audit is the surest methodology of handling big data in accounting.
Gärtner, B., & Hiebl, M. R. (2017). Issues with Big Data. In The Routledge Companion to Accounting Information Systems (pp. 161-172). Routledge.
The article holds that the best approach of dealing with big data in accounting is by training organizational staff adequately. The authors of the article argue that technological literacy in data analytics is a sure way to address the issue of big data in accounting. The article presents a similar perception with the work of (Richardson & Shan, 2019) in the article "Data Analytics in the Accounting Curriculum," as both articles strongly depict that advanced technological developments cause the issue of big data. The quality of language used by the authors of the article is easy to follow and comprehend.
Huerta, E., & Jensen, S. (2017). An accounting information systems perspective on data analytics and Big Data. Journal of Information Systems, 31(3), 101-114.
The article addresses the research question with a perception that big data is an issue that can be solved internally in an organization. According to the authors, the issues of big data in accounting are solvable by data analytics aim at updating the data storage systems. The authors share the perception that the issue of big data is the responsibility of data analytics. The arguments presented in the article are accurate in the manner that they present the role of data analytics in avoiding or mitigating the problem of big data in bookkeeping.
Rezaee, Z., & Wang, J. (2019). Relevance of big data to forensic accounting practice and education. Managerial Auditing Journal.
The article introduces big data as an issue that has realigned accounting. The authors of the report argue that the issue of big data is solvable through increasing the storage capacity that is currently available. The article proposes the use of cloud storage as a means of earning extra storage capacity for data. The authors of the article recommend that data analytics should determine the maximum capacity available for data storage and the possibility of using cloud storage as a capacity reservoir.
Richardson, V. Chang, C. J & Smith, R. E. (2017). Accounting Information Systems. McGraw-Hill Higher Education. 2nd Ed.
The authors of the book depict that technological development has resulted in a high rate of communication and hence causing the issue of big data. The book depicts that big data affects the retrieval of information from the storage domain. The authors of the book propose that mitigation of data noise is an ideal approach in addressing the issue of big data in accounting. Moreover, the book depicts that data analytics are relevant as they define data patterns that help in making conclusions. The authors of the book present data analytics as to the surest way of addressing the issue of big data in accounting.
Salijeni, G., Samsonova-Taddei, A., & Turley, S. (2019). Big Data and changes in audit technology: contemplating a research agenda. Accounting and Business Research, 49(1), 95-119.
The article addresses the issue of big data as an expected phenomenon from the advancements of information technology. The authors of the article challenge the process of contemporary data analytics to adapt to the changing technological trend in managing data. According to the article, the problem of big data in accounting is solvable through the adoption of sophisticated storage such as the use of cloud storage.
Trom, L., & Cronje, J. (2019, March). Analysis of data governance implications on big data. In Future of Information and Communication Conference (pp. 645-654). Springer, Cham.
The article identifies big data as an issue that results from faulty data analytics. According to the authors of the article, data analytics should be able to foresee data storage trends from the analysis of the current data storage patterns. The authors of the article present data analytics as the only sure approach of addressing the issue of big data in accounting. The article holds that a lack of enough capacity for data storage is solvable through credible data analytics.
References
Richardson, V. J., & Shan, Y. (2019). Data Analytics in the Accounting Curriculum. Advances in Accounting Education: Teaching and Curriculum Innovations (Advances in Accounting Education, Vol. 23), Emerald Publishing Limited, 67-79.
Dai, J., Vasarhelyi, M. A., & MEDINETS, A. (2019). Rutgers Studies in Accounting Analytics: Audit Analytics in the Financial Industry.
Gärtner, B., & Hiebl, M. R. (2017). Issues with Big Data. In The Routledge Companion to Accounting Information Systems (pp. 161-172). Routledge.
Huerta, E., & Jensen, S. (2017). An accounting information systems perspective on data analytics and Big Data. Journal of Information Systems, 31(3), 101-114.
Rezaee, Z., & Wang, J. (2019). Relevance of big data to forensic accounting practice and education. Managerial Auditing Journal.
Richardson, V. Chang, C. J & Smith, R. E. (2017). Accounting Information Systems. McGraw-Hill Higher Education. 2nd Ed.
Salijeni, G., Samsonova-Taddei, A., & Turley, S. (2019). Big Data and changes in audit technology: contemplating a research agenda. Accounting and Business Research, 49(1), 95-119.
Trom, L., & Cronje, J. (2019, March). Analysis of data governance implications on big data. In Future of Information and Communication Conference (pp. 645-654). Springer, Cham.
