ADA - Audit Data Analytics Assessing Data Reliability Questions and Answers — Questions and Answers
Question 1: An auditor is using Audit Data Analytics (ADA) to test the completeness of a client's sales transaction data. Which of the following procedures would be most effective for this purpose?
- Comparing the sequence of sales invoice numbers in the sales journal to the sequence of shipping document numbers. (Correct answer)
- Matching the total number of sales transactions in the sales ledger to the general ledger control account.
- Selecting a sample of sales invoices and vouching them to the corresponding shipping documents.
- Analyzing the data for duplicate sales invoice numbers and investigating any matches found.
Correct answer: Comparing the sequence of sales invoice numbers in the sales journal to the sequence of shipping document numbers.
To test for completeness, the auditor needs to ensure that all transactions that should have been recorded are, in fact, recorded. Comparing the sequence of shipping documents (which represent goods shipped) to the sales invoices (which represent goods billed) can identify shipments that were never invoiced, thus revealing incompleteness in the sales data.
Question 2: When evaluating the reliability of data for use in an ADA, an auditor's assessment is primarily influenced by the:
- Size and complexity of the dataset.
- Auditor's proficiency with the selected ADA tool.
- Nature and extent of the planned audit procedures.
- Intended use of the data and the risk associated with its use. (Correct answer)
Correct answer: Intended use of the data and the risk associated with its use.
The reliability of data is not an absolute concept but is assessed in the context of its intended use. According to guidance, the auditor determines if the data is fit for use given the audit's objectives and the risk of using insufficiently reliable data. A more extensive assessment is needed if the data is the sole source for significant findings.
Question 3: An internal auditor is preparing to use an ADA to analyze payroll data for a large multinational corporation. The data is extracted from multiple, disparate HR systems from different countries. Which of the following is the most critical first step in assessing the data's reliability?
- Performing a proof of completeness by reconciling the total record count to employee headcount reports.
- Analyzing the metadata to understand the data definitions, formats, and sources across the different systems. (Correct answer)
- Running a profiling script to identify outliers and anomalies in pay rates and hours worked.
- Vouching a sample of high-risk payroll transactions to supporting documentation like employment contracts.
Correct answer: Analyzing the metadata to understand the data definitions, formats, and sources across the different systems.
When dealing with data from disparate sources, the first step is to understand what the data represents. Analyzing the metadata provides insight into the structure, definitions, and potential inconsistencies (e.g., date formats, currency codes, data types) that must be addressed before the data can be considered reliable for analysis. This process, often part of data transformation, is crucial for ensuring consistency and comparability.
Question 4: Which of the following attributes is a primary component of data reliability, as defined in an audit context?
- Visualization
- Velocity
- Completeness (Correct answer)
- Volume
Correct answer: Completeness
In an audit environment, data reliability is consistently defined by its core attributes, which include accuracy, completeness, and applicability for the audit's purpose. Completeness ensures that all relevant records and fields are present and sufficiently populated. Visualization, velocity, and volume are characteristics of big data, not fundamental attributes of data reliability for an audit.
Question 5: An auditor obtains a data file of all purchase orders (POs) directly from the client's production ERP system via read-only access. The client's IT general controls are known to be strong. From a data reliability perspective, this data is generally considered more reliable than a spreadsheet of POs provided by the purchasing manager because:
- The purchasing manager may have a vested interest in the data's presentation.
- Direct extraction from the source system with strong controls reduces the risk of undetected alteration. (Correct answer)
- The ERP system automatically formats the data for easy import into ADA tools.
- Spreadsheets are inherently more prone to data corruption than ERP system files.
Correct answer: Direct extraction from the source system with strong controls reduces the risk of undetected alteration.
The reliability of data is enhanced when it is obtained directly by the auditor from a system with strong internal controls. This method minimizes the risk that the data could be manipulated or altered by management or staff before being provided to the auditor. A spreadsheet provided by an employee has a higher risk of intentional or unintentional modification.
Question 6: During the 'Access and Prepare Data' step of the 5-step ADA process, an auditor performs data cleansing and normalization. What is the primary goal of these activities in relation to data reliability?
- To build a predictive model for identifying future anomalies.
- To ensure the data is complete and all transactions have been recorded.
- To improve the quality, consistency, and usability of the data for analysis. (Correct answer)
- To verify the mathematical accuracy of calculations within the dataset.
Correct answer: To improve the quality, consistency, and usability of the data for analysis.
Data cleansing and normalization are key procedures in preparing data for an ADA. Cleansing improves data quality by correcting inaccuracies, while normalization ensures consistency by standardizing data formats and eliminating duplicates. These actions make the data more reliable and suitable for effective analysis, directly impacting the validity of the ADA's results.
ADA - Audit Data Analytics Assessing Data Reliability Questions and Answers
An auditor is using Audit Data Analytics (ADA) to test the completeness of a client's sales transaction data.
Which of the following procedures would be most effective for this purpose?