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These flashcards cover key concepts related to data analytics in auditing, including definitions and processes.
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Data
Facts and statistics collected together for reference or analysis.
Analytics
The systematic computational analysis of data to identify trends, risks, or insights.
Risk Assessment
The process during an audit where auditors identify outliers or unexpected items.
Test of Controls
Auditors use data analysis tools to test the effectiveness of controls in the audit process.
Substantive Procedures
Audit procedures that provide evidence to support financial statements, including analytical procedures.
ADA Steps
The five steps include planning, preparing data, considering relevance and reliability, performing, and evaluating results.
Documentation Requirements
Details that must be documented for audit procedures, including objectives, risks addressed, and methods used.
Generalized Audit Software
Software like IDEA and ACL used for audit data analytics.
Data Preparation Tools
Tools such as Alteryx and R used for cleaning and analyzing data.
Visualization Tools
Tools like Tableau and Power BI that help present data visually.