What are the 4 primary reasons for audit data analytics (the art of discovering and analyzing patterns through analysis)
1) Risk assessment
2) tests of controls
3) substantive procedures
4) evaluating conclusion
What is the five step approach to using ADAs?
1) Plan the audit data analytic
2) Access and prepare the data for use in an ADA
3) Consider the relevance and reliability of data used
4) Perform the ADA
5) Evaluate the results and decide whether the purpose and specific objective have been achieved
In step #1 of the five step approach to using ADAs, what does step 1 consist of?
In step #2 of the five step approach to using ADAs, what does step 2 consist of?
What is ETL, what does it stand for?
Accessing and preparing the data for use in an ADA
In step #3 of the five step approach to using ADAs, what does step 3 consist of?
What the six desired attributes of the data extracted?
Consider the relevance and reliability of the data used; desired attributes include:
1) Accuracy
2) Completeness- No omission
3) Consistency- data fields are well defined and managed
4) Freshness- data contain the most up-to-date changes
5) Timeliness- Data are available when needed
6) Clarity and relatedness- Data fields are clearly defined and related to the objective(s) being tested
In step #4 of the five step approach to using ADAs, what does step 4 consist of?
Perform the ADA
In step #5 of the five step approach to using ADAs, what does step 5 consist of?
Evaluate the results and decide whether the purpose and specific objectives have been achieved
Is visualization a important part of data analytics?
Yes
- Use various types of graphics (charts, scatter diagrams, trend lines, tables, or combinations thereof)