Webclass 73: Addressing government’s barriers to using data science and analytics in audit

Q1. What does Sam quote Byrnes et al from 2015 as challenging the auditing profession?

Advances in information technology in conjunction with real-time approaches to conducting business

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Less money is being spent on audit as companies are aiming to streamline procedures

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Q2. What is audit analytics according to Sam?

The science and art of discovering patterns and identifying anomalies: and extracting other useful infromation in data underlying or related to the subject matter of an audit through analysis, modeling and visualisation

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The science and art of identifying exceptions to the normal business processes and using these to select samples

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Q3. Why does Sam say that most auditors are not accustomed to technical infrastructure, skills and competencies?

Because accounting and public administration programs, as well as audit standards are behind

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Because there is not enough training invested in auditors

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Q4. What decisions do audit organizations face?

The decision between time of investing in internal training or the cost of new positions or third-party consulting

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The decision concerning which technical infrastructure and tools to purchase

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Q5. What does ETL stand for?

Extract, Transform and Load

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Exceptions, Test and Liabilities

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Q6. Why might we need to clean the data?

Resolve mismatched data types, remove test/traninig data, explainable outliers

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To show patterns over time in the data set

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Q7. What is the universal question that Sam says many audit shops are grappling with?

How to make our analytics more useful?

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Which software tool should we use?

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Q8. What did Sam identify as the first barrier to doing analytics?

Tools available for analytics: for example, doing complicated queries, large data sets and automation/ tools require hefty infrastructure development and require coding language

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Auditors are not aware of the point of doing audit analytics

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Q9. What did Sam identify as the second barrier to doing data analytics?

Analytical skills and competencies

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Understanding of business processes and accounting

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Q10. What did Sam identify as the third barrier to doing data analytics?

Incorporating analytics into the audit process

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Sampling from exceptions

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Q11. Are analytics most likely used for control tests that create audit findincts or for risk assessments for annual audit planning?

Control tests that create audit findings

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Risk assessments for annual audit plan

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WC073 – Addressing government’s barriers to using data science and analytics in audit

Participants 13

Webclass 73: Addressing government’s barriers to using data science and analytics in audit

admin June 9, 2026

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