Webclass 28: Quiz: Training auditors

Q1. Why did Nicola get into training for data analytics?

People doing training on software and didn't use it

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There isn't the right training for beginners

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Motivation issue for data analytics

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Awareness of what we need to do as an audit profession

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Because internal auditors wanted to learn more about software

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Q2. What does Nicola think is hindering auditors?

We fail to audit ourselves/ self-reflection on what we need to do to improve

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Easy to get an audit role with no requirements for data skills

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Sponsorship and tone at the top

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Access to data

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Technical data

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No opportunity to use the software after going to a training

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CPE culture is not the same as a learning culture

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Q3. What does Claire think is hindering data analytics with audit?

Tone at the top

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Everyone's happy if we have something in the report but no-one gets too ruffled

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Easier if we don't have to put numbers in the report

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Learning data analytics requires a certain amount of practice

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Not enough time on the fieldwork

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Internal auditors generally love doing data analytics

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Q4. How do Claire and Nicola think we can help people be motivated?

Teamwork

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Innovation and learning cultures

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Failure accepted

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Trying is celebrated

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Getting auditors to take exams for each course

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Q5. What’s an advantage of using a Mapping between the Risk Control Test matrix and data analytics?

Enables auditors to know what data analytics to do during fieldwork

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Gives guidance during fieldwork for the audit managers and auditors to know what is "permitted" or advised to do in terms of data

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Learn where data analytics fits in

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So that the auditor can get sampling done quicker

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Q6. What’s the disadvantage of using Mapping to the Risk Control Test matrix?

Might stop auditors thinking out of the box

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Auditors might get confused

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Q7. What does Nicola think that audit decisions should be based on?

Sample testing

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The entire population of data

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A set of 10 examples

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Risk based partly on data analytics

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Q8. Which of the following are tips for training auditors?

End goal in mind

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Determine where the team is in terms of knowledge at the start

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Plan out the learning across the year

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Integrate the training plan to the objectives

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Provide certifications/ badges etc. as auditors go through

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Provide a mix of e-learning and on-presence

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Make learning & using data analytics optional

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Q9. What does Nicola also think is necessary?

Optimal team culture

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Audit leaders need to cultivate an experimental approach

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Understanding what is needed to go from someone that knows nothing about data to someone knows a lot about it

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Celebrate effort

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Realizing that you can do a lot with Excel versus sampling 10

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Mastering SQL, python and data visualization

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Q10. What are examples of training foundation learning blocks?

Understanding why / when to use data

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Key Excel skills

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Knowing which data is key

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Understanding relational data bases

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Being able to use data visualization

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Mastering artificial intelligence advanced programming

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Sampling

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Webclass 28: Quiz: Training auditors

Webclass 28: Quiz: Training auditors

admin June 9, 2026

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