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

Abstract

Organizations, including public sector organizations, are required to use data optimally. Unfortunately, only 9% of organizations worldwide use data analytics properly (Meulen and McCall, 2018). The Ministry of Finance has many potential data and has initiated the audit data analytics scheme on the roadmap since 2019. This study aims to measure the readiness of audit data analytics implementation reviewed from general to specific by using a qualitative method where the informants were selected based on purposive sampling involving 20 speakers consisted of auditor, supporting unit, auditee, and expert. This study uses the primary model from Gürdür et al. (2019) based on the synthesis of the research study of Schuh et al. (2017) about the Industry 4.0 Maturity Index. Then, this model has been elaborated to generate four categories, eight aspects, and 15 criteria. These categories consist of resources readiness, information system readiness, culture readiness, and organizational readiness. The results show that the Ministry of Finance Inspectorate General has resources readiness at a high level and other categories at a medium level. Specifically, based on two most important activities involving data analytics in Inspectorate General, namely tax audit and financial statement review, show that tax audit has 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 the others at a medium level. Gaps are caused by challenges both from internal and external organizations.

Keywords

• audit data analytics
• data analytic readiness
• inspectorate general