CIA® Certified Internal Auditor

Overview of recent technological innovations in data analytics.

Introduction to big data and its implications for organizations.

Emerging trends in artificial intelligence (AI) and their impact on business operations.

Understanding the role of big data in modern enterprises.

Identifying the risks and challenges associated with big data usage.

Exploring opportunities presented by big data in various sectors.

Examining the use of AI in enhancing audit processes.

Identifying the risks posed by AI and how to mitigate them.

Strategies for incorporating AI into internal audit practices.

Practical data analytics techniques using readily available software.

Analyzing data to maximize assurance and improve audit effectiveness.

Case studies on successful data analytics implementation in internal audit.

Introduction to data visualization tools and techniques.

How to present collated information effectively using visual aids.

Transforming internal audit products with impactful data visualization.

Key considerations for managing cybersecurity risks in audit processes.

Techniques for safeguarding data integrity and confidentiality.

Analyzing the intersection of data management and cybersecurity in audits.

Practical exercises in data analytics and visualization.

Application of learned techniques on sample data sets.

Review of case studies to understand real-world applications.