The impact of big data analytics on sustainable auditing in Jordanian commercial banks

Abstract

This study examines the impact of big data analytics, specifically its dimensions of descriptive, predictive, and prescriptive analysis on sustainable auditing practices in Jordanian commercial banks. A descriptive analytical approach was employed to achieve the research objectives. The study population consisted of 12 Jordanian commercial banks with participants including data analysts, auditors, IT staff, and sustainable auditing consultants. 300 questionnaires were distributed, of which 277 were successfully retrieved and analyzed using SPSS. The results indicate that big data analytics significantly influences sustainable auditing practices in Jordanian commercial banks. The findings suggest that as technological advancements accelerate, increased investments in big data analytics are essential for enhancing auditing processes and achieving sustainability objectives in the banking sector. This underscores the growing importance of big data as a critical tool in modern financial management and auditing. Adopting BDA in sustainable auditing faces challenges, including data security concerns, high implementation costs, and the need for specialized expertise. Overcoming these obstacles requires strategic investments in technology, workforce training, and regulatory support. The findings of this study provide valuable insights for auditors, financial institutions, and policymakers seeking to enhance sustainable auditing practices through  big  data  analytics (BDA). The integration of BDA in Jordanian commercial banks can lead to several practical benefits such as   enhanced  audit  efficiency and  accuracy,  improved  regulatory  compliance, cost  reduction and  resource  optimization.