Chapter 6: Audit Analytics Flashcards

(27 cards)

1
Q

why audit data analytics?

A
  • time reduction
  • helps improve the nature, extent and timing of audit procedures:
  • nature= represents WHY auditor audit
  • extent: indicates HOW MUCH auditors can audit
  • timing: tells HOW OFTEN the procedure should be run

audit data analytics makes it clearer why
we do audit
increases extent to which we can audit
can audit more

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2
Q

What are the four types of audit analytics

A

Descriptive, Diagnostic, Predictive, Prescriptive

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3
Q

What is the goal of descriptive analytics

A

Summarize and describe what has happened

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4
Q

What is the goal of diagnostic analytics

A

Explain why something happened using patterns or comparisons

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5
Q

What is the goal of predictive analytics

A

Forecast what is likely to happen using models or patterns

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6
Q

What is the goal of prescriptive analytics

A

Recommend what action should be taken based on predictions

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7
Q

What is age analysis and which category does it belong to

A

Descriptive – groups data by time buckets (e.g., aged receivables)

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8
Q

What is sorting and which category does it belong to

A

Descriptive – arranges values from high to low or low to high

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9
Q

What are summary statistics and which category do they belong to

A

Descriptive – calculates mean, median, max, min, standard deviation

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10
Q

What is random sampling and which category does it belong to

A

Descriptive – selects representative transactions from population

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11
Q

What is a Z-score and which category does it belong to

A

Diagnostic – measures how far a value is from the mean in standard deviation

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12
Q

What is a boxplot and which category does it belong to

A

Diagnostic – visualizes spread and outliers in numerical data

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13
Q

What is Benford’s Law and which category does it belong to

A

Diagnostic – identifies unnatural digit patterns in transaction values

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14
Q

What is drill-down analysis and which category does it belong to

A

Diagnostic – allows tracing unusual data back to source or detail level

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15
Q

What is exact matching and which category does it belong to

A

Diagnostic – compares fields for identical matches (e.g., duplicate invoices)

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16
Q

What is fuzzy matching and which category does it belong to

A

Diagnostic – detects approximate matches based on similarity (e.g., vendor names)

17
Q

What is sequence checking and which category does it belong to

A

Diagnostic – identifies gaps or duplicates in sequences like invoice number

18
Q

What is regression and which category does it belong to

A

Predictive – estimates numerical outcomes using independent variables

19
Q

What is classification and which category does it belong to

A

Predictive – assigns data points to risk categories or labels

20
Q

What is the Altman Z-score and which category does it belong to

A

Predictive – bankruptcy risk model based on financial ratios

21
Q

What is the Beneish M-score and which category does it belong to

A

Predictive – detects earnings manipulation using accounting ratios

22
Q

What is sentiment analysis and which category does it belong to

A

Predictive – analyzes tone in reports or communications for risk signals

23
Q

What is what-if analysis and which category does it belong to

A

Prescriptive – tests outcomes by changing input variables

24
Q

What is goal-seek analysis and which category does it belong to

A

Prescriptive – identifies needed input to reach a target result

25
What are custom audit tools like IDEA used for and which category do they support
Prescriptive – run rules, models, and recommend actions for exceptions
26
What is the advantage of audit analytics over traditional sampli
Covers entire datasets, not just small samples, improves risk detection
27
What are the three dimensions of audit testing
Nature – what you test, Extent – how much you test, Timing – when you test