AUDITING IN BIG DATA ERA

Authors

  • Chutinuch Indraprasit College of Innovative Business and Accountancy, Dhurakij Pundit University

Keywords:

Big Data, Auditing

Abstract

A prevailing big challenge encountered by auditors in the era of Big Data for a successful audit is to investigate the means to benefit for applying Big Data systematically. Hence, the purpose of this paper is to prepare professional practitioners including all parties involved in meet the emerging change in audit. It covers the following topics: basic knowledge in Big Data, definition of Big Data in the context of audit, application of data analytics in audit work, and suggestion for guideline of effective integration of Big Data into auditing. Generally, three parties should be involved in the integration of Big Data into audit work: audit firm’s clients, audit firms, and external supporting organizations. The latter encompass educational institutions and professional organizations. In order to drive the integration guideline efficiently, two major factors should be considered. One consideration is related to analysis of the level of the effect on auditing from using the clients’ Big Data in their operations. In addition, the appropriate roles and duties of the supporting organization should be considered.

References

ธนชาติ นุ่มนนท์. (2558). เทคโนโลยีสำหรับ Big Data: Storage และ Analytics. สืบค้น 23 สิงหาคม 2560, จาก https://thanachart.org/2015/08/17.

ธนาวัฒน์ มาลาบุปผา. (2560). Big Data ข้อมูลสร้างคุณค่าอาวุธพิชิตใจลูกค้ายุคดิจิทัล. สืบค้น 5 พฤษภาคม 2561, จาก https://www.growthbee.com/big-data-digital-customers/.

ธีรเกียรติ์ เกิดเจริญ. (2555). Big Data ยุคข้อมูลใหญ่มหึมามาถึงแล้ว. สืบค้น 12 สิงหาคม 2560, จาก http://nano-in-thailand.blogspot.com/2012/06/big-data.html

เยาวลักษณ์ ชาติบัญชาชัย และโสภณ เพิ่มศิริวัลลภ. (2559). คำถามที่พบบ่อย (FAQ) เกี่ยวกับ Big data และ Data analytics. Boardroom, 48, 30-35.

โสภณ เพิ่มศิริวัลลภ. (2559). กระแสแห่งนวัตกรรมทางเทคโนโลยีกับวิชาชีพสอบบัญชี. วารสารวิชาชีพบัญชี, 12(34), 59-62.

Alles, M., & Gray, G. L. (2015). The Pros and Cons of Using Big Data in Auditing: A Synthesis of the Literature. Retrieved August 18, 2017, from http://jebcl.com/symposium/wpcontent/uploads/2015/09/The-Pros-and-Cons-of-Using-Big-Data-in-Auditing-A-Synthesis-of-the-Literature-UWCISA-Revised.pdf.

American Institute of Certified Public Accountant. (2015). Audit Analytics and Continuous Audit Looking Toward the Future. Retrieved December 9, 2017, from https://www.aicpa.org/interestareas/frc/assuranceadvisoryservices/downloadabledocuments/auditanalytics_lookingtowardfuture.pdf

Appelbaum, D., Kogan, A., & Vasarhelyi, M. (2015). Moving towards continuous audit and big data with audit analytics: Implications for research and practice, 35th World Continuous Auditing & Reporting Symposium. Organized by Rutgers Accounting Research Center (RARC) and Continuous Auditing & Reporting Laboratory (CAR-Lab).

Association to Advance Collegiate Schools of Business. (2014). AACSB International Accounting Accreditation Standard A7: Information Technology Skills and Knowledge for Accounting Graduates: An Interpretation. Retrieved January 18, 2018, from http://www.aacsb.edu/-/media/aacsb/publications/white-papers/accounting-accreditation-standard-7.ashx?la=en.

Centre of Financial Reporting Reform – World Bank Group. (2017). Audit Data Analytics: Opportunities and Tips. Retrieved August 26, 2017 from http://siteresources.worldbank.org/EXTCENFINREPREF/Resources/4152117-1427109489814/SMPs_spreads_digital.pdf

Certified Public Accountant Canada. (2016). Audit Data Analytic Alert: Keeping Up With the Pace of Change. Retrieved December 9 2017, from https://www.cpacanada.ca/-/.../01186-rg-auditdata-analytics-alert-keeping-up-with-pa.

Dumbill, E. (2012, January 11). What is Big Data? An introduction to the Big data landscape.Retrieved August 12, 2017, from http://radar.oreilly.com/2012/01/What-is-big-data.html

Early, C. E. (2015). Data analytics in auditing: Opportunities and challenges. Accounting Horizontal, 58, 493-500.

Fisher, L. (2015). Big data transforming how audits are carried out. AB Magazine. Retrieved January 20, 2018, from http://www.accaglobal.com/pk/en/member/member/accounting-business/insights/big-data.html.202

Gartner. (2012). Gartner Says Big Data Will Drive $28 Billion of IT Spending in 2012. Press Release, October 17th. Retrieved December 9, 2017, from http://www.gartner.com/newsroom/id/2200815.

International Auditing and Assurance Standards Board’s Data Analytics Working Group. (2016). Exploring the Growing Use of Technology in the Audit, with a Focus on Data Analytics. Retrieved August 15, 2017, from https://www.ifac.org/publications-resources/exploringgrowing-use-technology-audit-focus-data-analytics

Krahel, J. P., & Titera, W. R. (2015). Consequence of Big Data and Formalization on Accounting and Auditing Standard. Accounting Horizontal, 29(2), 409-422.

Liu, Q. (2014). The application of exploratory data analysis in auditing (Doctoral dissertation, RutgersUniversity-Graduate School-Newark).

Stewart, T. R. (2015). Data Analytics for Financial Statement Audits. Audit Analytics and Continuous Audit: Looking Toward the Future (pp.105-128). New York: Author

Tang, J. J., & Karim, K. E. (2017). BIG DATA in Business Analytics: Implications for the Audit Profession. CPA Journal, 87(6). Retrieved August 15, 2017, from http://www.cpajournal.com/2017/06/26/big-data-business-analytics-implications-audit-profession/

Wang, R. (2011, February 27). Monday’s musing: Beyond The three V’s of big data-Viscosity and virality. Retrieved August 12, 2017, from http://www.forbes.com/sites/raywang/2012/02/27/Mondays-musings-beyond-the-three-vs-of-big-data-viscosity-and-virality/

Downloads

Published

2020-06-22

How to Cite

Indraprasit, C. (2020). AUDITING IN BIG DATA ERA. SUTHIPARITHAT JOURNAL, 32(103), 189–202. retrieved from https://so05.tci-thaijo.org/index.php/DPUSuthiparithatJournal/article/view/243670

Issue

Section

Academic Articles