Which of the following is the MOST important consideration for a risk practitioner when making a system implementation go-live recommendation?
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A. B. C. D.B.
As a risk practitioner, the most important consideration when making a system implementation go-live recommendation would be the results of end user acceptance testing. End user acceptance testing is a process where the end-users test the system to ensure that it meets their requirements and works as expected in their environment.
There are several reasons why end user acceptance testing is the most important consideration for a risk practitioner when making a system implementation go-live recommendation:
User satisfaction: The main objective of a system implementation is to improve the user experience, and end user acceptance testing is the best way to determine if the system meets the users' needs. If the system is not accepted by the end-users, it is likely to result in dissatisfaction and reduced productivity, which could lead to a negative impact on the organization's bottom line.
System performance: End user acceptance testing also helps to identify any issues with system performance, such as slow response times or system crashes. These issues can have a significant impact on the organization's operations, and addressing them before go-live can help to minimize any potential downtime or disruptions.
Security risks: End user acceptance testing can help to identify any security risks that may have been overlooked during the system implementation. If these risks are not addressed before go-live, they could lead to data breaches, which could have a significant impact on the organization's reputation and bottom line.
In contrast, the availability of in-house resources, completeness of system documentation, and variances between planned and actual cost are also important considerations when making a system implementation go-live recommendation, but they are not as critical as end user acceptance testing. For example, while in-house resources are important, if the system does not meet the end-users' needs, it is unlikely that in-house resources can address this issue. Similarly, while completeness of system documentation is important, it is not a guarantee of system performance or user satisfaction. Finally, while variances between planned and actual cost are important to monitor, they do not necessarily impact the quality of the system itself.