Note: This is a recording of a previously held live webinar and is not eligible for CPE credit.
As advances in data management and analytics make organizational data more accessible, internal audit must evolve or be rendered irrelevant. In this presentation, Dan Zitting, a globally recognized leader in data analysis for the past 30 years, will illustrate this shift — what it means for internal audit leaders, and how to embrace the change through people, process, and technology to make internal audit a trusted and sought-after advisor in today's data-centric business environment.
The presentation will cover how to:
- Define the people, process, and technology steps to take in maturing to a data-centric approach to audit and risk management
- Distinguish between traditional data-mining audit analytics and forward-looking risk analytics, and how both apply to an effective program
- Review case studies of what worked and what didn’t at leading organizations that employ a data-driven approach to audit and risk