Session 1: Introduction to Risk Analytics
- Understanding Risk Analytics: Definitions and Scope
- The Role of Risk Analytics in Modern Organizations
- Overview of Risk Types: Financial, Operational, Strategic, and Compliance Risks
Session 2: Big Data Fundamentals in Risk Analytics
- Characteristics of Big Data: Volume, Velocity, Variety, Veracity, and Value
- Data Sources and Collection Methods
- Data Storage and Management Techniques
Session 3: Data Analysis Techniques for Risk Assessment
- Statistical Methods and Predictive Modelling
- Machine Learning Algorithms in Risk Prediction
- Case Studies: Application of Data Analysis in Risk Management
Session 4: Automated Detection Controls
- Design and Implementation of Automated Controls
- Real-time Monitoring and Anomaly Detection
- Tools and Technologies for Automation
Session 5: Assessing Risk and Performance
- Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs)
- Integrating Risk Assessment with Performance Management
- Balanced Scorecard Approach in Risk Analytics
Session 6: Risk Reporting and Communication
- Developing Effective Risk Reports
- Visualization Techniques for Risk Data
- Communicating Risk to Stakeholders
Session 7: Aligning with Risk Appetite and Tolerance
- Defining Risk Appetite and Tolerance Levels
- Frameworks for Aligning Risk Strategy with Organizational Goals
- Continuous Monitoring and Adjustment of Risk Appetite
Session 8: Practical Applications and Case Studies
- Industry Case Studies on Risk Analytics Implementation
- Hands-on Projects Using Risk Analytics Tools
