AUDIT ANALYTICS AUDIT
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<strong>AUDIT</strong> <strong>ANALYTICS</strong> AND CONTINUOUS <strong>AUDIT</strong>:LOOKING TOWARD THE FUTURE<br />
Table 1-10: Expanded Opinion Conceptualization<br />
We have The For the period And we found<br />
Examined<br />
Financial<br />
statements<br />
Year<br />
Materially correct<br />
Monitored Account Month Reliable to the 99%<br />
level<br />
Analyzed Transactions Continuously<br />
or close to the<br />
event or in the<br />
appropriate<br />
frequency<br />
The enclosed<br />
exceptions for the<br />
period<br />
Prepared Controls The following alerts in<br />
the attached URL<br />
Reported Process Correct with an<br />
acceptable error rate<br />
of 1%<br />
Reported and<br />
verified<br />
Outsourced process<br />
Shared<br />
examinations<br />
Automated<br />
decision settings<br />
Security of user<br />
information such as<br />
social security<br />
numbers and<br />
passwords<br />
The settings to be<br />
adequate to perform<br />
the continuous<br />
assurance function<br />
The system vulnerable<br />
to serious attack<br />
5.3 Management, Control, Assurance, and<br />
Other Meta-Processes Confusion of Concepts<br />
It may be overambitious to attempt to resolve the confusion generated by<br />
the expansion of functions taken over by technology and their effect on<br />
the "lines of defense" discussed earlier in this essay. It suffices to<br />
understand that internal and external business related functions aim to<br />
achieve corporate objectives. The nature of the objective, the<br />
characteristic of job functions, the type of technology progressively being<br />
used, and the nature of the contractual relationship with vendors,<br />
assurers, suppliers, and customers will affect several management<br />
controls and assurance functions. The historically evolved set of rules<br />
and regulations that permeate the environment rely on definitions that<br />
may not be relevant in this age of automation and piggybacking (Siegele,<br />
2014) of technologies and processes. Some examples of concept confusion<br />
include the following:<br />
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