Data Mining for Auditors
Data Mining for Auditors
In this extremely informative three-day seminar we will cover all of the critical aspects of data mining that any auditor will need to know. You will understand they key approaches that need to be taken when utilizing data to be effective. You will learn how to define which data should be used for what purposes to maximize the outcome of your audit efforts. You will learn the 10 commandments of data mining and how they must be applied to insure the success of each and every audit engagement. You will learn what is required to effectively and efficiently use proven data to maximize your value to the organization. But even more important you will also learn how to realistically measure your value in real business facts that will be irrefutable proof of your contributions as an audit entity to the organization’s success.
If you don’t get ahead of the curve regarding the use of data in all of your auditing efforts, then by process of elimination you will be behind the curve. The audit functions that are truly world class and performing at maximum effectiveness are all data savvy and will dominate the practice of auditing at its highest level. You will leave this session thoroughly understanding the key ways to effectively determine the right data to use, and the right analytics to use them with in all of the right audit situations.
Suitability - Who should attend?
Audit directors, managers, audit and risk data analysts, internal and external auditors, information technology auditors and risk managers.
Prerequisites
Fundamentals of Internal Auditing (OAG101) or equivalent experience
Training Course Content
- Aligning the Audit Function with the Business
- Defining Data Mining & Continuous/Continual Auditing
- Maximizing the Use of Data
- Using Data Mining to Operate a Highly Effective Audit Risk Methodology
- Data Analysis Methodologies: Focusing the Audits on Critical Business Concerns
- Defining a Continuous/Continual Audit Process for Maximum Effectiveness
- Rethinking the Audit Process
- Focusing the Reporting on Outcomes Not Outputs
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