This study introduces an innovative methodology for audit data analytics (ADA) called Visual Audit, which aims to effectively integrate visual analytics (VA) into existing audit practices. Furthermore, a descriptive model called the Visual Audit Model is proposed to provide a schematic summary of the Visual Audit Methodology. To foster a shared understanding among public accounting firms and internal auditors, this research also provides comprehensive definitions of VA-based ADA (VADA) and the Mature VA Tool (MVT). These definitions aim to establish a consensus on the concept of VA and specific VA tools that can be utilized to enable democratized self-service analytics.

JEL Classifications: M42.

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