Data Analytics for Auditors: Enhancing Accuracy and Efficiency

Course Objectives:

• Understand the role of data analytics in the audit process.
• Learn how to use data analysis techniques to identify risks and anomalies in financial data.
• Gain proficiency in using data analytics tools to enhance audit accuracy and efficiency.
• Develop skills in applying data analytics in the audit planning, fieldwork, and reporting phases.

Introduction to Data Analytics in Auditing

• Overview of Data Analytics and its Importance in Auditing
• Key Concepts in Data Analytics: Data Types, Structures, and Sources
• Understanding the Audit Process and How Data Analytics Integrates into It
• Ethical Considerations and Data Security in Auditing

Tools and Techniques for Data Analysis in Auditing

• Introduction to Data Analytics Software (e.g., Excel, IDEA, ACL)
• Basic Data Analytics Techniques: Sorting, Filtering, and Summarizing Data
• Identifying Key Financial Data for Analysis
• Using Descriptive Statistics for Initial Data Exploration

Identifying Risks and Anomalies Using Data Analytics

• Techniques for Identifying Risks and Red Flags in Financial Data
• Anomaly Detection Methods: Outliers, Trends, and Patterns
• Benford’s Law for Detecting Fraudulent Transactions
• Case Studies: Applying Data Analytics to Real-Life Audit Scenarios

Enhancing Audit Efficiency and Accuracy with Data Analytics

• Streamlining the Audit Process: Automating Routine Tasks with Data Analytics
• Data Visualization Tools for Clearer Reporting and Insights
• Practical Application: Using Data Analytics in Audit Planning, Fieldwork, and Reporting
• Best Practices and Future Trends in Data Analytics for Auditors

DATE:
1ST BATCH: 24th – 27th Feb,2026
2ND BATCH: 16th – 19th June,2026

3RD BATCH: 13th – 16th Oct,2026