ADA - Audit Data Analytics Diagnostic Analytics for Audits Questions and Answers — Questions and Answers
Question 1: An internal auditor uses diagnostic analytics to examine a full year of accounts payable transactions. The analysis reveals a significant spike in payments to a new vendor in the last quarter, coinciding with a drop in gross profit. Which of the following is the PRIMARY purpose of this type of analysis?
- To predict which vendors are likely to be high-risk in the future.
- To summarize the total payments made to all vendors throughout the year.
- To understand the root cause of the observed financial anomalies. (Correct answer)
- To prescribe the necessary internal control changes to prevent future occurrences.
Correct answer: To understand the root cause of the observed financial anomalies.
Diagnostic analytics aims to answer the question 'Why did it happen?'. By linking the spike in payments to a new vendor with a simultaneous drop in profit, the auditor is exploring the underlying causes and relationships behind these observed events, which is the core of diagnostic analysis.
Question 2: An auditor is analyzing a large dataset of journal entries to identify potential fraud. They apply a technique that compares the frequency distribution of the first digits of the entry amounts to a known logarithmic distribution. Deviations from this expected pattern are flagged for further investigation. Which diagnostic technique is being used?
- Regression Analysis
- Benford's Law (Correct answer)
- Clustering Analysis
- Sequence Check
Correct answer: Benford's Law
Benford's Law is a diagnostic technique used to analyze the frequency distribution of leading digits in a set of numerical data. It is based on the principle that in many naturally occurring datasets, the number 1 appears as the leading digit about 30% of the time, with other digits appearing less frequently. Significant deviations from this pattern can indicate anomalies or data manipulation, making it a useful tool for fraud detection.
Question 3: Which of the following scenarios is the BEST application for using outlier detection as a diagnostic analytic technique in an audit?
- Forecasting the allowance for doubtful accounts for the next fiscal year.
- Identifying payroll payments that are significantly higher or lower than an employee's average salary. (Correct answer)
- Summarizing the total number of approved purchase orders by department.
- Validating the sequence of all issued invoice numbers to find any missing documents.
Correct answer: Identifying payroll payments that are significantly higher or lower than an employee's average salary.
Outlier detection is a diagnostic technique designed to identify data points that deviate markedly from the rest of the data. Analyzing payroll data to find payments that are statistical outliers compared to an employee's normal salary range is a perfect use case for identifying potential errors or fraudulent activities.
Question 4: An audit team wants to understand the relationship between a company's advertising expenditures and its sales revenue to identify any unusual variances. They plan to use a statistical method to model the strength and direction of this relationship based on several years of historical data. What diagnostic technique should they employ?
- Drill-Down Analysis
- Duplicate Detection
- Regression Analysis (Correct answer)
- Process Mining
Correct answer: Regression Analysis
Regression analysis is a statistical technique used to model the relationship between a dependent variable (sales revenue) and one or more independent variables (advertising expenditures). It helps auditors understand and quantify these relationships to develop expectations and identify significant deviations that require further investigation.
Question 5: During a review of a procure-to-pay process, an auditor uses diagnostic analytics to identify transactions with similar characteristics, grouping them together. The auditor discovers a small cluster of transactions with unusual payment terms and delivery locations, which are inconsistent with the vast majority of other transactions. This approach is an example of:
- Time Series Analysis
- Clustering Analysis (Correct answer)
- Benford's Law
- Sequence Analysis
Correct answer: Clustering Analysis
Clustering analysis is an unsupervised learning technique that groups data points based on their similarities. In an audit context, it is used to segment transactions into groups. Small clusters or transactions that do not fit well into any cluster (outliers) can be flagged as anomalies for further diagnostic investigation.
Question 6: An auditor is examining a dataset of sequentially numbered documents, such as checks or invoices, to identify control weaknesses. The primary diagnostic goal is to find any breaks in the numerical order. Which of the following techniques would be most effective for this specific purpose?
- Regression Analysis
- Outlier Detection
- Correlation Analysis
- Sequence Analysis (Correct answer)
Correct answer: Sequence Analysis
Sequence analysis (or a gap/sequence check) is a diagnostic technique specifically used to verify the completeness and integrity of sequential data. It identifies missing items in a sequence, such as a missing invoice or check number, which could indicate a control failure, error, or fraudulent activity.
ADA - Audit Data Analytics Diagnostic Analytics for Audits Questions and Answers
An internal auditor uses diagnostic analytics to examine a full year of accounts payable transactions.
The analysis reveals a significant spike in payments to a new vendor in the last quarter, coinciding with a drop in gross profit.
Which of the following is the PRIMARY purpose of this type of analysis?