Final Flashcards

(45 cards)

1
Q

3 elements to an audit procedure

A

Nature- why we perform audit procedures
Extent- how much we can test
Timig- How often to run the procedure

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2
Q

Computer assisted audit techniques (CAAT)

A

Automated scripts that contain data analytics procedures; used to validate data and test controls

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3
Q

Descriptive analytics

A

Summarize activity or master data elements based on certain attributes
Looking at past

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4
Q

Diagnostic analytics

A

Trying to understand what is going to happen

Looking for correlations or patterns of interest in the data

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5
Q

Predictive analytics

A

Auditor attempts to find hidden patterns or variables linked to abnormal behavior

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6
Q

Prescriptive analytics

A

Identify a course of action for auditor to take based on actions taken in previous similar situations

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7
Q

Fuzzy matching

A

Finds correspondences between portions of text of other entries

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8
Q

Internal audit advantages

A
Leads the way for audit analytics
Less restrictions
Easier to implement
Familiar with organization
Easier for them to tell the firm issues with the firm
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9
Q

Systems triangle and risks of each

A

People risk: putting in a number wrong
Processes: segregation of duties violation. Downside: requires more people
Technology: system failure. Security cameras, video monitoring.

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10
Q

Data warehouse advantages

A

Faster
No screw up (operational is at high risk for screw ups)
Enough data but not too much (Information overload)

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11
Q

Residual Risk

A

Risk remaining after controls are put in place. The risk we care about.

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12
Q

Work paper components

A
Audit procedures
IT doc and flow charts
Database maps, data dictionaries
Parameters/Variables about existing controls
Data extracts- evidence
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13
Q

Descriptive CAATs

A

Age analysis
Sorting
Summary statistics (Mean, median)
Sampling

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14
Q

Diagnostic CAATs

A
Z-score
Benford's law
Drill-down
Exact/fuzzy matching
Clustering
Stratification
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15
Q

Predictive CAATs

A

Regression
Classification- predicts a category for record
Probability
Sentiment analysis

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16
Q

Prescriptive CAATs

A

What if analysis
Applied statistics
Artificial intelligence

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17
Q

Drill down

A

Double clicking a value to see the underlying transactions

Explores details behind values

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18
Q

Sequence check

A

Detects gaps in records and duplicates entries

Makes sure all transactions are accounted for

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19
Q

Artificial intelligence

A

[Computers] use observations of past actions to predict future actions for similar events

20
Q

Probability CAAT

A

Uses a rank score to evaluate strength of classification

21
Q

Performance metrics

A

Any number used to measure performance at a company

22
Q

Digital dashboard

A

An interactive report showing the most important metrics to help users understand how a company or an organization is performing

23
Q

Balanced Scorecard

A

Created to identify the most important metrics to measure ad target goals to compare them against

24
Q

Balance Scorecard Components

A

Internal Business Process- Efficiency
Organizational Capacity- Knowledge and Innovation
Customer/Stakeholder- Satisfaction
Financial Stewardship- Financial performance

25
Balanced Scorecard characteristics
Objectives- should be aligned with strategic goals of organization Measures- show how well organization is meeting objectives Initiatives- actions that an organization can take to move Targets- achievable goals toward the metrics
26
Attack a model steps
Evaluate the assumptions Attack the question Look at/Challenge the Data. Is it representative? Methods- Regression issues: we only choose to use one method and could ignore the hidden variables
27
KPI process
Identify what we are trying to measure. Ex. Customer satisfaction Look for benchmarks- Look at competitors, integrity Identify the specific goal. Come up with KPI and how it is measured. Identify what factors may drive
28
homogeneous systems approach
All divisions and subsidiaries use a uniform installation of SAP
29
heterogeneous systems approach
Attempt to integrate the existing systems of acquired companies and use translators to convert the output
30
Systems translator software
Attempts to map the various tables and fields from the systems to create a data warehouse
31
Audit data standards
Define common tables and fields needed by auditors to perform common audit tasks Make recommendations to ERP vendors on to standardize data output
32
Set of Audit data standards
Base Standard- defines format for files and fields and master data General Ledger Standard- adds chart of accounts, source listings, trial balance, and GL Order to Cash Subledger Standard- focuses on sales orders, A/R, shipments, invoices, cash receipts Procure to Pay Subledger Standard- purchase orders Inventory Subledger Standard- product master data
33
Audit plan elements
Methodology- directs audit work, PCAOB, COSO Scope of the audit- time, materiality Potential risk- Riskier audits require more procedures Procedures and specific tasks- necessary data/attributes Formal evaluation- risk score, judgement of "goodness", explain findings
34
Continuous auditing
Process that provides real time assurance over business processes and systems
35
Continuous monitoring
Constantly evaluates internal controls and transactions
36
Continuous reporting
Reports on the status of the system so an auditor can know at any given time if it is operating in parameters set by management Makes sure rules are not violated, and alarm is accurate, not
37
Production or live systems
Active systems that collect and report and are directly affected by current transactions
38
Data warehouse
A repository of data accumulated from internal and external data sources to help management decision making
39
Six types of audits
Process efficiency/effectiveness- done by Internal audit Governance, risk, and compliance Information technology- SOC 2, age, processing, speed Forensic- fraud Financial statement Operational- management
40
Four factors that affect speed
Hardware Software Telecommunications Hackers
41
Sentiment analysis
Evaluate text to predict positive or negative outcomes or look for potential bias on management's part
42
Types of KPIs
``` Financial Perormance Customer Marketing Operational Employee Environmental/Social Sustainability ```
43
KPI strategies
Work backwards from goal Think about how we can cluster KPIs. Focus on 3-5 things Be aware of lags, in terms of performance and data. Ex. Customer satisfaction will give us money, but it will take time.
44
Data Governance
Who has the right to the data, to make a decision Accounting- financial data Human resources- Employee data Sales- customer data
45
Power of data automation
Elimiate significant hours Create repeatable analysis Reduce human error