Internal Audit and Big Data Analysis
Overview
An intensive training program combining best practices in internal audit with cutting-edge big data analytics techniques. It aims to equip participants with the skills needed to enhance audit effectiveness and improve financial and strategic decision-making. Discover how big data can revolutionize the internal audit function.
Program Importance
Enhance the efficiency and effectiveness of internal audit operations using big data analytics tools.
Proactively detect risks and fraud through the analysis of large and complex datasets.
Improve the quality of audit reports and provide valuable insights for senior management and decision-makers.
Keep pace with technological advancements in financial and analytical auditing to ensure competitiveness.
Program Objectives
Understand the fundamental principles of internal audit and its role in corporate governance.
Identify the concept of big data and its applications in the auditing field.
Acquire practical skills in using big data analytics tools for auditing.
Develop the ability to analyze data to identify risks and improve operational performance.
Training Modules
Day 1: Fundamentals of Internal Audit and Big Data
Full Day
Introduction to Internal Audit: Principles and Standards.
The Role of Internal Audit in Governance and Risk Management.
Big Data Concept: Characteristics and Challenges.
The Importance of Big Data for Internal Audit.
Digital Transformation and its Impact on the Audit Function.
Day 2: Big Data Collection and Processing for Audit
Full Day
Sources and Types of Big Data (Structured and Unstructured).
Big Data Collection Techniques (ETL).
Data Cleaning and Transformation for Audit Analysis.
Big Data Storage Tools (Hadoop, NoSQL).
Ensuring Data Quality and Reliability.
Day 3: Big Data Analytics Tools and Techniques in Audit
Full Day
Introduction to Data Analytics Tools (Python, R, SQL).
Descriptive and Diagnostic Data Analysis.
Data Mining Techniques for Pattern Detection.
Predictive and Prescriptive Risk Analysis.
Data Visualization for Audit Reports.
Day 4: Practical Applications of Big Data in Audit
Full Day
Using Big Data in Financial Operations Audit.
Fraud Detection and Suspicious Activities using Analytics.
Compliance and Regulatory Audit using Data.
IT and Cybersecurity Risk Analysis.
Case Studies and Practical Applications from Various Sectors.
Day 5: Data Governance, Ethics, and the Future of Audit
Full Day
Data Governance and Information Security in a Big Data Environment.
Ethical and Legal Considerations in Data Analysis.
Developing a Framework for Data-Driven Continuous Auditing.
Artificial Intelligence and Machine Learning in Internal Audit.
Workshop: Building an Action Plan to Integrate Big Data into the Audit Function.
Expected Outcomes
Apply modern internal audit methodologies supported by big data analytics.
Utilize data analysis tools and techniques to extract patterns and insights from financial data.
Efficiently assess risks and identify weaknesses in systems and processes.
Formulate data-driven audit recommendations to support strategic decision-making.
Build advanced analytical capabilities to address audit challenges in the digital age.
Target Audience
Internal and external auditors.
Financial analysts and data analysts.
Risk and compliance managers.
Governance and financial control specialists.
What's Included
Price
4500
Start Date
Monday 18 May 2026
Duration
One Training Week (5 Days)
Language
Arabic or English
Venue
Luxury Training Venue, Istanbul
Certificate
Accredited Certificate