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AUDIT ANALYTICS AUDIT

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<strong>AUDIT</strong> <strong>ANALYTICS</strong> AND CONTINUOUS <strong>AUDIT</strong>:LOOKING TOWARD THE FUTURE<br />

operational reasons. The need to monitor and assure control settings and<br />

the nature of overrides generated a new type of audit objective and<br />

process.<br />

Data<br />

Data is in general stored in ERPs, in files for legacy systems, or in more<br />

recent times in large repositories external to the organization that are<br />

called big data (Vasarhelyi, Kogan, and Tuttle; 2015). The access to these<br />

data for observation, monitoring, or mass retrieval requires the auditor’s<br />

knowledge and extensive use of software tools. This access is not only<br />

technically challenging but also organizationally difficult (Vasarhelyi,<br />

Romero, Kuenkaikaew, and Littley; 2012).<br />

1.2 Conceptualizing Various Elements of CA<br />

Table 1-1 illustrates the uses, purposes, and approach of the expanded<br />

model of continuous assurance differentiating between internal and<br />

external usage and further differentiating between diagnostic, predictive,<br />

and historic usage.<br />

Table 1-1: Users, Purpose, and Approach of the Elements of Continuous<br />

Assurance<br />

Data<br />

assurance Controls Compliance<br />

Risk<br />

monitoring<br />

and<br />

assessment<br />

Operations<br />

(monitoring)<br />

Who uses<br />

• Management X X X X X<br />

• Audit (internal X X X<br />

or external)<br />

• Investors<br />

X<br />

• Regulators X X X<br />

Purpose<br />

• Diagnostic X X X X<br />

• Predictive X X<br />

• Historic X X X X X<br />

Primarily performed by<br />

• Automation X X X X X<br />

• Manual X X X<br />

Each of these elements is discussed in the following sections.<br />

Continuous assurance (CA) has the potential to benefit a wide variety of<br />

users. Management will be interested in all aspects, from data assurance<br />

6

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