• Explore the origin of data and information.
• Recognize the characteristics of strong data governance.
• Describe the primary deliverable from an effective governance process.
• Identify the primary considerations and activities associated to solid data management.
• Discuss variations on how data governance and management is approached based on organization size and industry.
• Consider the value of data analytics and methods for managing data obtained during the audit activity.
• Understand preliminary concepts related to data literacy.
• Explore common data gathering techniques.
• Identify where data exists and how (and when) to request it.
• Recognize the importance of validating data before starting analysis and methods to validate and deal with exceptions and outliers.
• Discuss the key steps in data analysis.
• Describe the key differences between continuous monitoring and continuous auditing.
• Discuss the advantages and concerns when data is consolidated and normalized from multiple devices.
• Discuss how internal audit can perform data analysis on data coming from multiple integration points.
• Recognize the potential of using data analytics to uncover business problems, beyond fraud.
• Describe how internal audit can address business requests for analytics and maintain compliance with the IIA standards.
• Describe opportunities and challenges when using data analytics in highly communitive systems.
• Discover internal audit’s role in data analytics for automation-related activities.
• Explore opportunities for gathering data and performing data analytics regarding macros, business process automation (BPA), automated workflows, artificial intelligence.
• Recognize opportunities for internal auditors to utilize data analytics during digital transformation planning and rollouts.
$739 - $899