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SOX compliance and the necessity to be accurate in reporting makes this area critical. The first thing you determine is what are the job functions that are performed in these areas. Once you understand that, you need to start thinking about what are the indicators that tell what they're doing is either incorrect or not being done. This is the beginning of the risk assessment that you need to apply to these areas. This will guide you to a highly effective conclusion relative to their functionality. Major issues of concern that exist will be identified in the risk assessment approach and will lead to a more effective audit of the environment.
Learning Objectives:
- Learn about the key outcomes of finance and accounting
- Discover key risk indicators that will alert you to problematic conditions
- Identify a key analytic approach to determine the effectiveness of controls
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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