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At 29 when I became the CAE of a Fortune 500 company and started the Internal Audit Department, there was no prior history of auditing and as such I had to rely on common sense and logic to establish the audit procedures. The Chairman of the Board / CEO, my boss was a lawyer and he only dealt in facts not speculation. In order to meet his key criteria, I learned quickly that I had to use the data that was available to do my risk assessments and auditing to present satisfactory results to the audit committee and the boss. We will discuss the basics of this approach in this webinar.
Learning Objectives:
- Discover a proprietary method of thought that makes risk assessment straightforward
- Learn the necessity to do a risk assessment before undertaking any type of auditing
- Discover the center of the risk universe and why you can risk assess anything if you use this logical thought process
Mr. Duckert is an internationally recognized expert in the field of Enterprise Risk Management and data-analytics based approaches to auditing and risk assessment.
He is the author of "Data-Centric ERM: Common Sense That Isn't Very Common”. He possesses 9 professional certifications and is the sole developer and owner of a data-centric proprietary approach to risk assessment and management. These methodologies are applied to ERM and to enterprise risk methodologies for Internal Auditing in organizations of all sizes
Mr. Duckert was educated at the University of Wisconsin - Madison and obtained an MBA in Accounting in 1989, a BBA in Accounting in 1978, and a BA in Economics in 1971. He is in demand to speak frequently at national and international conferences.
The company he founded, Virtual Governance Institute, along with his co-founder, is the creator of THE three professional certifications for audit and risk professionals in the field of data analytics. They are CERMDA (Certified in Enterprise Risk Management Data Analytics), CCARDA (Certified in Continual / Continuous Audit & Risk Data Analytics), and CFADA (Certified in Fraud Auditing & Data Analytics).
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