Thursday, November 21, 2019

Better Use Computer Assisted Auditing Techniques for Auditing Thesis

Better Use Computer Assisted Auditing Techniques for Auditing - Thesis Example Over the recent years many audit firms have shifted towards using this technique, as this technique has helped in analyzing audit data more quickly and rapidly. The other discussion point in this report is the flexibility of CAAT with auditing and other standards such as SOX. The other issue in this report is the concern of using this technique after having proper analysis of the business being audited. Finally, the report is concluded by pointing out that its benefits clearly outweigh its risk. The purpose of this project is to discuss the main features of Computer Assisted Audit Techniques (CAATs) and how the use of such technique can assist in better auditing procedures being followed up by auditors. With such better procedures being followed by auditors, the conclusion that they draw would be considered stronger as CAATs help in huge data to be analyzed. To give the reasoning as to why CAATs are better than traditional audit techniques, it is compared with those techniques. Practical examples and case studies are given to further elaborate the upper hand that CAATs have over other techniques and how they assist auditors in drawing better conclusions. Finally its advantages and disadvantages are looked upon which suggest that the advantages prevail over its disadvantages. (Warren, 2007) An auditing process is automated by the use of techniques such as CAAT. The adoption of this technique has led many audit firms to change their way of auditing any particular company i.e. rather than using the traditional audit techniques, CAAT is hugely used and encouraged by audit firms. The basic aim of this technique is to assist the auditor in reducing his manual work; major data can be processed with ease hence leading to a better opinion being made by the auditor. Auditors using manual audit technique have to manually select sample data upon which to base their conclusion, while selecting this sample data

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