Readiness Analysis of Data Analytics Audit Implementation in Inspectorate General of the Ministry of Finance: An Indonesian Case

Alvan Chaqiqi, Agung Nugroho

Abstract


Organizations including public sector organizations are required to utilize data optimally. Unfortunately, only 9% of organizations in the world use data analytics properly (Meulen and McCall, 2018). The Ministry of Finance has a lot of potential data and is the only internal control organization in Indonesia that has initiated the audit data analytics scheme on the roadmap in 2019. This study aims to measure the readiness of audit data analytics implementation reviewed from general to specific. To achieve this objective, this study conducted using qualitative method where the informants were selected based on purposive sampling involving 20 speakers consisted of auditor, supporting unit, auditee, and expert. This study use main model from Gürdür et al. (2019) based on the synthesis of the research study of Schuh et al. (2017) about Industry 4.0 Maturity Index. Then, this model has been elaborated to generate 4 categories, 8 aspects, and 15 criteria. These categories consist of resources readiness, information system readiness, culture readiness, and organizational readiness. The results show that [1] Generally, Ministry of Finance Inspectorate General has resources readiness at high level and other categories at medium level. [2] Specifically, based on two biggest process in Inspectorate General, namely tax audit and financial statement review, show that tax audit have a high level of resource readiness, and the others at a medium level, meanwhile the financial statement review has a high level of resources readiness and information system readiness, and the others at a medium level. [3] Gaps are caused by challenges both from internal and external organization.

Keywords


Audit Data Analytics, Data Analytic Readiness, Inspectorate General

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References


Andriansyah, Muhammad. (2019). Analisis Implementasi Continuous Audit Di Lingkungan Inspektorat Jenderal Kemenkeu. Tangerang: PKN STAN.

Armenakis, Achilles A., Stanley G. Harris, and Kevin W. Mossholder. (1993). Creating Readiness for Organizational Change. Human Relations 46. no. 6: 681–703. https://doi.org/10.1177/001872679304600601

Atan, Ruhaya, dan Faziyatun Mohamed Yahya. (2015). Accrual Accounting Change: Malaysian Public Sector Readiness. Journal of Management Research 7, no. 2: 459. http://www.macrothink.org/journal/index.php/jmr/article/view/6978/5790

Auronen, Lauri. (2003). Asymmetric Information: Theory and Applications. In Seminar in Strategy and Internatonal Businerss. Helsinki University of Technology. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.198.9252&rep=rep1&type=pdf

Basri, Hasan, Fahlevi Heru, and Hanifa Soraya Syarifah. (2016). Determinants of Government Agencies’ Readiness in Adopting Accrual Accounting System-A Study in the Local Agencies of Indonesian Ministry of Religious Affairs. Jounal of Finance and Auditing Studies 2, no. 4: 60–74. https://jafas.org/articles/2016-2-4/4_Accounting_System_FULL_TEXT.pdf

Chen, Hsinchun, Roger H L Chiang, Veda C Storey, and J Mack Robinson. (2012). Special Issues: Business Intelligence Research Business Intelligence and Aanalytics: From Big Data to Big Impact. MIS Quarterly 36, no. 4: 1165–88. DOI: 10.2307/41703503

Daryanto. (2019). Antisipasi Perubahan Dan Peran Auditor Pemerintah Dalam Menghadapi Revolusi Industri 4.0. Warta Pengawasan BPKP, 2019. http://www.bpkp.go.id/public/upload/unit/pusat/files/Final%20artikel%201%20tahun%202019%20small.pdf

Earley, Christine E. (2015). Data Analytics in Auditing: Opportunities and Challenges. Business Horizons 58, no. 5: 493–500. 10.1016/j.bushor.2015.05.002

Earnshaw, Rae, John Dill, and David Kasik. (2019). Data Science and Visual Computing. Advanced Information and Knowledge Processing. Cham: Springer International Publishing.

Fauzan, Reza. (2013). Pengaruh Kapasitas Sumber Daya Manusia Dan Komitmen Organisasi Terhadap Penerapan Pengendian Intern Kas Pada Satuan Kerja Perangkat Daerah Di Lingkungan Pemerintah Kota Sabang. Jurnal Akuntansi 2, no. 2: 16–27. https://docplayer.info/37598100-Jurnal-teknik-sipil-issn-pascasarjana-universitas-syiah-kuala-12-pages-pp.html

Godfrey, Jayne, Hodgson Allan, Tarca Ann, Hamilton Jane, and Holmes Scot. (2010). Accounting Theory. 7. Australia: John Wiley & Sons Australia, Ltd.

Goodson, Stephen G, J. Mory Kenneth, and R. lapointe Jacques. (2012). Supplemental Guidance: The Role of Auditing in Public Sector Governance. www.globaliia.org/standards-guidance

Gürdür, Didem, Jad El-khoury, and Martin Törngren. (2019). Digitalizing Swedish Industry: What Is next? Data Analytics Readiness Assessment of Sweish Industry, Accordong to Survey Results. Computers in Industry 105 (February): 153–63. https://doi.org/10.1016/j.compind.2018.12.011

Hiererra, Siti, and Mario Octaviano Ignatius Sarayar. (2014). Continuous Audit: Implementasi Dan Pengendalian Berbasis Teknologi Dalam Menjalankan Fungsi Audit Yang Lebih Efektif Dan Efisien. Comtech 5, no. 2: 763–74. https://media.neliti.com/media/publications/166166-ID-continuous-audit-implementasi-dan-pengen.pdf

Miles, B. Matthew dan A. Michael Huberman. (2014). Qualitative Data Analysis. Edisi Ketiga. California: Sage Publications.

IIA. (2016). International Standards for The Professional Practice of Internal Auditing (Standards). www.globaliia.org

Inspektorat Jenderal Kementerian Keuangan. (2018). Kerangka Pengembangan Data Analytics Inspektorat Jenderal. Jakarta: Inspektorat Jenderal Kementerian Keuangan.

International Auditing and Assurance Standards Board’s (IAASB). (2017). Exploring the Growing Use of Technology in the Audit, with a Focus on Data Analytics Content. https://www.iaasb.org/publications/exploring-growing-use-technology-audit-focus-data-analytics

Kayahan. (2013). Continuous Audit: From the Concept towards the Implementation. International Journal of Business and Social Research 3, no. 7: 1–7. http://dx.doi.org/10.18533/ijbsr.v3i7.240

Kiron, David, and Fergusson. (2012). From Value to Vision: Reimagining the Possible with Data Analytics What Makes Companies That Are Great at Analytics Different from Everyone

Else Research Report Spring 2013 Finding From 2013 Data & Analytics Global Executive Study and Research Report. https://sloanreview.mit.edu/wp-content/uploads/2013/03/13a218d008.pdf

Kogan, Alexander, Ephraim F. Sudit, and Miklos A. Vasarhelyi. (2018). Continuous Online Auditing: A Program of Research. Journal of Information Systems 13, no. 2: 87–103. 10.1108/978-1-78743-413-420181006

Kothari, CR. (2004). Research Methodology (Method and Techniques). Second. New Delhi: New Age International (P) Ltd.

Kotter, John P. (1995). Leading Change: Why Transformation Efforts Fail Harvard Business Review. Boston: Harvard Business Review. https://hbr.org/1995/05/leading-change-why-transformation-efforts-fail-2

Lambrechts, Altus J, ELourens Jacques, B Millarr Peter, and E Sparks Donald. (2011). Global Technology Audit Guide (GTAG) 16 : Data Analytics Technologies. USA: Institute of Internal Auditors. https://na.theiia.org/standards-guidance/recommended-guidance/practice-guides/Pages/GTAG16.aspx

Lehman, Wayne E.K., Jack M. Greener, and D. Dwayne Simpson. (2002). Assessing Organizational Readiness for Change. Journal of Substance Abuse Treatment 22, no. 4: 197–209. DOI: 10.1016/S0740-5472(02)00233-7

Liddy, James P. (2014). “The Future of Audit.”. https://www.forbes.com/sites/realspin/2014/08/04/the-future-of-audit/#21a088e22725.

Mayinka, James. 2011. Big Data: The next Frontier for Innovation, Competition, and Productivity | McKinsey. (2011). https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/big-data-the-next-frontier-for-innovation .

Meulen, Rob Vander, and Thomas McCall. (2018). Gartner Survey Shows Organizations Are Slow to Advance in Data and Analytics. 2018. https://www.gartner.com/en/newsroom/press-releases/2018-02-05-gartner-survey-shows-organizations-are-slow-to-advance-in-data-and-analytics .

Russom, Philip. (2011). TWDI Best Practices Report (Fourth Quarter). https://tdwi.org/research/2011/09/~/media/TDWI/TDWI/Research/BPR/2011/TDWI_BPReport_Q411_Big_Data_Analytics_Web/TDWI_BPReport_Q411_Big%20Data_ExecSummary.ashx

Schuh, Gunther, Anderl Reiner, Jurgen Gausemier, Michael ten Hompel, and Wolfgang Wahlster. (2017). Industrie 4.0 Maturity Index. Jerman. https://www.acatech.de/wp-content/uploads/2018/03/acatech_STUDIE_Maturity_Index_eng_WEB.pdf

Stippitch, Warren w. dan Bradley. (2016). Data Analytics Elevating Internal Audit Value. Florida: The Institute of Internal Auditors Research Foundation.

Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: PT Alfabeth.

Tang, Fengchun, Carolyn Strand Norman, and Valaria P. Vendrzyk. (2017). Exploring Perceptions of Data Analytics in the Internal Audit Function. Behaviour & Information Technology 36, no. 11: 1125–36. https://doi.org/10.1080/0144929X.2017.1355014

World Economic Forum. (2018). The Future of Jobs Report. http://reports.weforum.org/future-of-jobs-2018/ .




DOI: http://doi.org/10.33312/ijar.513

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