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 ARABIC  ENGLISH  FRENCH  ITALIAN  SPANISH

OVERVIEW

Advanced Audit and Data Analytics focuses on equipping auditors with advanced skills in using data analytics to enhance the effectiveness and efficiency of audit processes. This training teaches participants how to apply analytical tools and techniques to audit large datasets, identify patterns, detect anomalies, and provide data-driven insights that improve audit quality and decision-making.

Participants will explore key areas such as using audit analytics software, performing risk assessments through data analysis, and integrating continuous auditing practices. The course also covers the role of data visualisation in presenting audit findings and the use of automation to streamline audit procedures.

This programme is ideal for internal and external auditors, audit managers, and professionals who want to leverage data analytics to improve audit outcomes and gain deeper insights into organizational performance and risks.

LEARNING OUTCOMES

Utilise Data Analytics Tools in Audits
Gain proficiency in using advanced audit analytics software and tools to analyse large datasets and support audit processes.
Identify Patterns and Anomalies in Data
Learn to detect irregularities and trends within financial and operational data that can indicate risks, fraud, or inefficiencies.
Enhance Risk Assessment with Data-Driven Insights
Develop the ability to perform data-driven risk assessments, prioritising high-risk areas for audit focus based on analytical findings.
Integrate Continuous Auditing and Monitoring Practices
Understand how to implement continuous auditing through automated data analytics to ensure real-time risk management and compliance.
Present Audit Findings through Data Visualisation
Learn to use data visualisation techniques to effectively communicate audit results, providing clear insights to stakeholders and decision-makers.

DAILY SCHEDULE


Day 1: Introduction to Data Analytics in Auditing

Understanding the Role of Data Analytics in Modern Audits
Key Tools and Techniques for Audit Data Analytics
Overview of Data Analytics Software for Auditors
Benefits of Data-Driven Auditing Processes

Day 2: Using Data Analytics for Risk Assessment

Performing Risk Assessments with Data Analytics
Identifying High-Risk Areas Through Data Patterns and Trends
Assessing the Impact of Data Analytics on Audit Planning
Case Studies: Data Analytics in Risk-Based Auditing

Day 3: Detecting Anomalies and Irregularities in Data

Techniques for Identifying Anomalies in Financial and Operational Data
Using Predictive Analytics to Detect Potential Fraud or Errors
Leveraging Data Analytics for Compliance and Control Testing
Practical Exercises: Anomaly Detection Using Audit Analytics Tools

Day 4: Continuous Auditing and Automation

Implementing Continuous Auditing with Data Analytics
Automating Routine Audit Tasks Through Data Tools
Monitoring Key Controls in Real-Time Using Data Analytics
Examples of Continuous Auditing Practices in Organisations

Day 5: Data Visualisation and Reporting of Audit Findings

Presenting Audit Results Using Data Visualisation Tools
Creating Interactive Dashboards to Communicate Audit Insights
Best Practices for Reporting Data-Driven Audit Findings
Case Studies: Effective Use of Data Visualisation in Audit Reports