We listened to our clients who had difficulty buying and then implementing data analysis software. We have watched as they have taken our advice as outlined below:
Don’t re-invent the wheel - Talk to us first so you can use our past test modules to jump start your data analysis initiative. Even if you plan to analyze data over time yourself, let us pave the way by running a prototype for you.
Limit risk by signing up for a fixed-price service – Fixed prices are set for running the reports which is better explained in What Does It Cost?
Implement journal entry testing as it is a must for audit compliance - SAS 99 makes specific references to using data analysis to support the audit process and AICPA Practice Alert 2003-02 provides specific guidance on journal entry tests that should be performed on every audit. Instead of attempting this manually which will lead to limited quality and an inefficient approach, utilize data analysis to quickly master this audit test.
Use standardized test scripts to ensure quality results - Don’t let human error of your data processing run tarnish the processing results. We have used these reporting modules on countless clients and can provide you quality assurance testing out-of-the-box.
Let us be your data gurus – One of the top reasons data analysis is not used in the audit process is the lack of skilled users. It is clearly a skill that “if you don’t use it, you lose it”. Get results fast by using our service and then consider developing an internal implementation once the business case is realized for using data analysis. Please note we can perform not only these standardized tests but can also develop custom routines based on your precise needs.