This is the result of a research project that aimed to lead to the design of a data analytics framework to help internal audit functions.
The book covers a wide spectrum of concepts, such as:
- Financial risk
- Compliance
- Fraud
The framework helps internal audit to broaden risk coverage and enhance audit efficiencies.
You will learn how to:
- Develop a data analytics framework and use it to accomplish multiple audit objectives.
- Enhance internal audit efficiency through the use of data mining and analytics.
- Eliminate duplicated data mining and analysis efforts across audit and other functions.
- Determine the optimal effort needed to maximize the framework.
The IIA Research Foundation, in partnership with Grant Thornton, conducted research and provided subject matter experts and editorial resources to produce this report.
