Data Analytics Audit

What You Will Learn

• 1 Learn the foundational principles of data analytics audit and its role in modern governance.
• 2 Understand data governance structures and audit techniques for data quality metrics.
• 3 Apply audit frameworks such as COBIT, ISO 38500, and regulatory standards specific to analytics.
• 4 Analyze risk factors in data analytics workflows using quantitative and qualitative methods.
• 5 Evaluate controls within data integration and ETL processes for integrity and completeness.
• 6 Assess data modeling practices and algorithm validation procedures.
• 7 Examine compliance requirements for data visualization and reporting outputs.
• 8 Review IT general controls for analytics platforms including access management and change control.
• 9 Implement continuous auditing techniques and automated monitoring controls.
• 10 Explore emerging trends like AI audit, bias detection, and ethical considerations in analytics audit.