INTRODUCTION TO AUDIT AND ANALYTICS
- Overview of audit analytics.
- Significance and benefits of integrating analytics.
- Evolution of auditing with data-driven tools.
- Analytical mindset in auditing.
- Role of analytics in risk identification.
- Software setup and familiarization with Power BI.
RISK ASSESSMENT AND PRELIMINARY ANALYTICS
- Descriptive and inferential statistics for auditing.
- Understanding key statistical measures (mean, variance, standard deviation).
- Applying statistical insights for identifying risks.
- Data visualization techniques using Power BI.
- Creating visualizations in Power BI (bar charts, line charts, and scatter plots).
ADVANCED AUDIT ANALYTICS
- Exploratory data analysis (EDA) and visualization.
- Identifying patterns, correlations, and outliers in audit data.
- Techniques for effective EDA using Power BI.
- Advanced Excel functions for audit analytics.
- Utilizing Pivot Tables for data summarization.
- Applying XLOOKUP and conditional formatting for data analysis.
ANOMALY DETECTION AND ANALYSIS
- Introduction to anomaly detection in auditing.
- Applying Benford’s Law for detecting irregularities in financial data.
- Sequence and gap analysis for anomaly detection.
- Identifying missing or duplicated entries in datasets.
- Data cleaning and transformation using Power BI.
EMERGING TECHNOLOGIES AND CONTINUOUS AUDITING
- Real-time auditing: concepts and benefits.
- Implementing continuous auditing with analytics tools.
- Emerging technologies in auditing.
- Overview of blockchain, RPA (Robotic Process Automation), and AI.
