Data Analytics for Internal Audit: Importance, Implementation, & Best Practices

With the ever-growing popularity of using data to make smart business decisions, we will explore what data analytics is, the maturity cycle, and why it is important to internal audit. We will also cover some of the widely used tools, the phases of kicking off a data analytics process, the team composition, and some real-life examples of where we have helped clients implement data analytics for their internal audit function. In this session, you will: -Explore the different types of data analytics and where each type fits in the maturity cycle -Learn about the specific data analytics function composed of people, processes, and technologies -Learn about the roles and responsibilities of team members within the data analytics function -Explore some real-life examples of where audit departments are deploying data analytics to help make smarter decisions Who should attend: Anyone who wants to learn about ways companies are deploying data analytics within their internal audit departments to enhance their visibility to their organization Program level: Beginner Field of study: Auditing Prerequisites: None Delivery Method: Group Internet Recommended CPE Credit: 1.0 *CPE credit available for qualifying live attendees only