Computer Assisted Auditing Techniques
From Wikipedia, the free encyclopedia
Computer Assisted Auditing Techniques (CAATs) refer to techniques and computer programs that are developed to audit electronic data, to audit things that cannot be audited manually or to make the audit more rationally. It is approved by GAAP.
[edit] Techniques
These techniques include, but are not limited to:
- Random sampling (with physical verification)
- curve data deviation
- average or median user data input calculation and prediction
- age analysis
- gap analysis
- duplicate analysis
- data stratification
There are commercial companies that have developed generalized audit softwares, where some of these techniques are available, and artificial intelligence algorithms, which are applied to data to assist in the human auditing.
[edit] See also
Data_analysis_(information_technology)
Category: Computer Assisted Auditing Techniques (link below)