Data scrutiny involves a thorough examination and analysis of data to ensure accuracy and integrity during auditing practices. This process includes evaluating data sources, verifying compliance with standards, and identifying discrepancies or anomalies that may indicate errors or fraud. By conducting comprehensive data scrutiny, organizations enhance the reliability of their reporting, improve decision-making, and uphold trust among stakeholders, ultimately strengthening their overall governance framework.