Full Access IIA IIA-CIA-Part2 Tutorials

In a mature control environment with limited internal audit resources, internal auditors should focus their testing on preventive key controls. Preventive controls are designed to stop errors or irregularities before they occur, making them crucial for maintaining control effectiveness. Key controls are the most important controls in mitigating risks to an acceptable level. By focusing on these, internal auditors can ensure that the most critical risks are managed effectively despite limited resources. References:

The IIA’s International Standards for the Professional Practice of Internal Auditing (Standards), specifically Standard 2320 - Analysis and Evaluation.

The IIA’s Practice Guide on Assessing the Adequacy of Control Processes.

Promoting objectivity in internal auditing involves ensuring that auditors avoid conflicts of interest and maintain independence in both fact and appearance. Policies that clearly define and give examples of inappropriate business relationships help auditors understand and avoid situations that could impair their objectivity.

IIA Standard 1120 (Individual Objectivity) emphasizes the importance of internal auditors maintaining an unbiased mindset and avoiding conflicts of interest.

The observation in question includes the condition ("no approved credit risk management policy" and "17 out of 50 contacts showed clients with a poor credit history") and the cause (the subsidiary concluding contacts with high-risk clients). However, it lacks the effect, which should explain the potential or actual impact of this deficiency on the organization (e.g., financial losses, increased credit risk). Additionally, it is missing the criteria, which should reference the specific rules or policies that are not being followed (e.g., the organization’s credit risk management policy requirements). Including these components would provide a complete and actionable observation.

The Institute of Internal Auditors (IIA) - Practice Guide: Audit Reports and Working Papers

Descriptive analytics explains what happened.

Diagnostic analytics explains why it happened.

Predictive analytics forecasts what may happen in the future using historical patterns.

Prescriptive analytics suggests actions to take.

Since the goal is to forecast potentially fraudulent behavior before it occurs, this is predictive analytics (D).