Risk Assessment Using Data Analytics: Enterprise Risk Management (ERM)

This course covers the basic concepts of risk assessments and enterprise risk assessments (ERAs) and how data analytics can optimize the risk assessment process; it also covers how to use risk assessments in risk-based auditing at the annual audit planning, the engagement planning, and the audit program development levels. It also includes Enterprise Risk Management (ERM) fundamentals, best practices, and examples of tools, templates, and reports commonly used in the risk management process. There is also coverage of ERM metrics using data analytics.

To better partner with key business stakeholders and add value to one’s organization, it is necessary to understand key business risks. Therefore, the course devotes significant coverage to common business functions and their respective key processes, as well as the related risks, including Accounting, Financial Reporting, Human Resources, Legal, Sales, Contracts, Customer Service, Transportation/Delivery Service, IT, Manufacturing, Compliance, Quality Assurance, and Research & Development.

Throughout the course, there are exercises, informative articles, case studies, examples of tools and templates, and graphical depictions to help the participant apply concepts and theories to practical use in their organization. The course wraps up with reporting risk information to key stakeholders, including what’s important to the Board as it relates to communicating risk information.

This course covers the basics of risk assessments, risk assessment steps, templates, and examples. It also covers ERM metrics and effectiveness.

Who should attend:

Internal Auditors, Compliance Experts, and leaders in Internal Audit departments.

Here are the topics we'll cover.

1. Course Overview
2. Enterprise Risks
3. Enterprise Risk Management (ERM)