Modern audit engagement frequently includes reviewing clients' use of Big Data platforms to ensure that they remain competitive and have access to important data. The client's system is based on external data sources obtained using big data application software. This integration is being carried out because clients are now adopting the most advanced and complicated business analytical approaches to help them make decisions. As new technologies disrupt firms, external auditors must integrate tools like Big Data Analytics (BDA) to enhance operations. As a result, this scenario gives an excellent chance for auditors to apply big data technologies to advanced analysis. The research is motivated by observational data that shows auditors' readiness to use technology is still in the planning stage. To address this, researchers distributed questionnaires to auditors in Indonesia with the goal of increasing an auditor's readiness to use TRAM. This research will achieve the following goals: (1) Knowing the understanding of an auditor in using Big Data Analytics in audit procedures, (2) Understanding the relationship between the use of technology and data processing. (3) The problem is that there are still many auditors who are not ready to use big data systems to manage financial data in the entire TRAM-based audit process using quantitative methods based on questionnaire results assisted by the SmartPls application in performing data management. This research contributes through the development of TRAM and Big Data Analytics models for the audit process in public accounting firms based on applicable audit standards.