Webclass 33: Data Analytics Decision Tree - could it be semi-automatic?

Q1. What three reasons does Claire give for auditors not using data analytics?

Knowledge gap

Correct Incorrect Correct answer

Trust

Correct Incorrect Correct answer

Confusion

Correct Incorrect Correct answer

Technical skills

Correct Incorrect Correct answer

Q2. How could we quickly close the knowledge gap and get everyone on the same page?

Use e-learning to cover all main aspects about accounting, risks, data, how to use dashboards, etc.

Correct Incorrect Correct answer

Get your auditors to learn python

Correct Incorrect Correct answer

Get your auditors to learn SQL

Correct Incorrect Correct answer

Q3. What should we reconcile the general ledger to?

The trial balance

Correct Incorrect Correct answer

The operational data in the company (sales orders, purchase orders, etc.)

Correct Incorrect Correct answer

The list of suppliers

Correct Incorrect Correct answer

The list of customers

Correct Incorrect Correct answer

Q4. How can you build trust with the auditors that the data analytics dashboards are correct?

Show the auditors that we have done the reconciliation to the financial statements

Correct Incorrect Correct answer

Remind the auditors on all dashboards what the total values were

Correct Incorrect Correct answer

Reconcile all parts of the entire business process together

Correct Incorrect Correct answer

Train the auditors on how to code the dashboard

Correct Incorrect Correct answer

Q5. Why might invoices tend to be higher in value than the purchase orders and goods receipts?

Because we can have invoices for things such as tax, utilities, rental, for which we don't do a purchase order

Correct Incorrect Correct answer

Because of fraud in the company

Correct Incorrect Correct answer

Q6. How can a decision tree help the auditors to not be confused?

The decision tree can guide the auditor when they are reviewing the dashboard

Correct Incorrect Correct answer

Helps the auditors to feel a little bit more relaxed when faced with a complicated dashboard

Correct Incorrect Correct answer

Helps the auditors to not miss something that is critical

Correct Incorrect Correct answer

Helps the auditor to ask relevant questions of the dashboard

Correct Incorrect Correct answer

The decision tree will give the answer to the auditor so that they do not need to spend too much time reviewing the dashboard

Correct Incorrect Correct answer

Q7. What simple tool could we use instead of Excel in order to guide auditors through the dashboard with our decision tree?

A chatbot

Correct Incorrect Correct answer

Artificial intelligence

Correct Incorrect Correct answer

Q8. How could an Isolation Forest help us?

It helps us to easily identify combinations in the data that are unusual compared to the rest of the data

Correct Incorrect Correct answer

For the "outliers" identified, we can go into the isolation forest and then review the tree so that we can then assess if we think that the unusual case is a possible fraud scenario or not

Correct Incorrect Correct answer

The auditors might not be able to see all of the outliers in the results sets and data sets easily, the isolation forest helps to see "anomalies" or "unusual patterns"… that could be fraudulent, because of their unusual nature

Correct Incorrect Correct answer

The isolation forest will pinpoint the fraud automatically

Correct Incorrect Correct answer

Q9. What data would you INPUT to the isolation forest?

All of the results from all of the data analytics tests (all of the indicators) and maybe even some of the raw data

Correct Incorrect Correct answer

Individual indicators one-by-one

Correct Incorrect Correct answer

Q10. How could isolation forest help with storytelling with data?

The "outliers" identified, that are considered by the auditor to be potential fraud cases, and that are then reviewed to be actual fraud cases, can then be converted into a decision tree visualization automatically, that can then be used in an auditor's report to show the thought process by which the "outlier" was identified.

Correct Incorrect Correct answer

The isolation forest will confirm for the auditor which outliers are fraudulent cases

Correct Incorrect Correct answer

Webclass 33: Data Analytics Decision Tree – could it be semi-automatic?

Webclass 33: Data Analytics Decision Tree – could it be semi-automatic?

admin June 9, 2026

Quiz Summary

Information

Results

Results

Categories

1. Question

2. Question

3. Question

4. Question

5. Question

6. Question

7. Question

8. Question

9. Question

10. Question