Data Analytics for Auditors

Course CodeSC00333

Available Dates & Locations

This course is available in multiple locations and online. Choose the most suitable date and delivery method.

Istanbul

Dates

Istanbul

Venue / Hotel

DoubleTree by Hilton Istanbul Esentepe

19 Mayıs Mahallesi, 19 Mayis Street No 2 Sisli, 34360 Istanbul/İstanbul

Hotel Website
Duration
1 Week
Price
€6,300

Course Overview

In today's increasingly digital and data-driven world, the role of auditors has evolved significantly. Traditional audit techniques are no longer sufficient to handle the complexity and volume of data generated by modern organizations. The Data Analytics for Auditors program, developed by Global Horizon Training Center, is designed to empower auditors with the tools, knowledge, and techniques needed to effectively audit IT systems, databases, and digitalized environments, including those powered by Artificial Intelligence (AI), Internet of Things (IoT), and emerging innovations in digitalization. This hands-on program bridges the gap between traditional audit methodologies and modern data analytics, ensuring participants are well-equipped to conduct insightful, risk-based, and technology-driven audits.

Course Objectives

By the end of this program, participants will be able to:

  • Understand the fundamentals and importance of data analytics in auditing.
  • Apply data analysis techniques to extract, analyze, and visualize audit-relevant information.
  • Conduct audits of databases, digital systems, and IT environments using analytical tools.
  • Evaluate risks and controls in systems involving AI, IoT, and other digital innovations.
  • Leverage modern analytics platforms and tools to enhance audit quality and efficiency.

Who Should Attend

This program is ideal for:

  • Internal and external auditors
  • IT auditors and compliance professionals
  • Risk management and governance officers
  • Audit team leaders and managers
  • Professionals involved in digital transformation and data governance

Course Outline

  • Evolution of auditing in digital environments
  • Role of data analytics in risk-based auditing
  • Types of audit analytics (descriptive, diagnostic, predictive)
  • Understanding audit data sources (ERP, financial systems, operational data)
  • Overview of analytics tools used in audit:
  • Data governance, privacy, and ethical considerations