Credit risk and systemic vulnerabilities remain top priorities for financial regulators, central banks, and financial institutions. Business Intelligence (BI) tools provide a powerful framework for collecting, analyzing, and visualizing data to support both credit risk assessment and macroprudential supervision. This training course equips participants with advanced BI techniques to identify emerging risks, design early warning systems, and strengthen oversight frameworks that ensure financial stability and institutional resilience.

By combining theory with practical applications, the program demonstrates how BI dashboards, predictive analytics, and scenario modeling can be applied to credit risk monitoring and macroprudential analysis. Participants will gain hands-on experience in integrating multiple datasets, designing visual tools for risk assessment, and applying BI solutions to regulatory and policy frameworks. By the end of the course, attendees will be able to leverage BI tools to improve transparency, mitigate systemic risks, and enhance evidence-based policymaking in financial oversight.

Duration: 10 Days

Target Audience

• Central bank credit risk analysts
• Macroprudential policy experts
• Banking supervisors and regulators
• Risk management professionals in financial institutions
• Business intelligence specialists in finance
• Data scientists in economic and financial research
• Compliance and audit officers
• Policy makers in financial oversight bodies
• Academics and researchers in financial stability
• Consultants in financial technology and risk analysis

Objectives

• Understand the role of BI in credit risk assessment and macroprudential policy
• Gain expertise in integrating financial datasets for risk analysis
• Apply BI dashboards for real-time credit risk monitoring
• Use predictive analytics for early warning indicators
• Strengthen systemic risk analysis with BI tools
• Improve stress testing and scenario analysis capabilities
• Enhance compliance and supervisory reporting processes
• Visualize risk insights for effective communication
• Learn from international case studies and best practices
• Build institutional capacity for BI-driven financial stability frameworks

Course Modules

Module 1: Introduction to BI in Risk and Macroprudential Analysis

• Definition and importance of BI tools
• Applications in financial stability monitoring
• Benefits for regulators and institutions
• Challenges in implementation
• Global best practices

Module 2: Data Sources for Credit Risk and Macroprudential Analysis

• Bank balance sheet data
• Market and supervisory datasets
• Alternative and high-frequency data
• Cross-border and sectoral data integration
• Ensuring data reliability

Module 3: Fundamentals of Credit Risk Assessment

• Credit risk concepts and measures
• Borrower risk profiling
• Portfolio risk assessment techniques
• Credit scoring models
• Monitoring non-performing loans

Module 4: Macroprudential Policy Frameworks

• Objectives of macroprudential policy
• Key indicators of systemic risk
• Tools for financial stability oversight
• Role of BI in macroprudential supervision
• Case studies of policy applications

Module 5: Business Intelligence Tools and Platforms

• Overview of BI platforms for finance
• Comparative features of Power BI, Tableau, Qlik
• Integration with financial databases
• Customizing BI tools for regulators
• Practical applications

Module 6: Dashboards for Risk Monitoring

• Designing interactive risk dashboards
• Key risk indicators for credit and systemic risks
• Real-time monitoring dashboards
• Enhancing usability and effectiveness
• Case examples

Module 7: Predictive Analytics in Risk Monitoring

• Basics of predictive modeling in finance
• Early warning systems for credit risk
• Forecasting systemic vulnerabilities
• Machine learning applications
• Practical exercises

Module 8: Stress Testing with BI Tools

• Role of stress testing in risk oversight
• Designing stress test models
• Scenario-based stress testing
• Using BI for stress test visualization
• Case studies from financial supervision

Module 9: Portfolio Risk Management

• Credit portfolio analysis with BI
• Risk concentration analysis
• Diversification strategies
• Monitoring portfolio performance
• Communicating insights to management

Module 10: Compliance and Regulatory Reporting

• Automating compliance reports
• Standardizing supervisory submissions
• Enhancing accuracy and efficiency
• BI tools in AML and regulatory compliance
• Transparency through BI

Module 11: Visualization of Credit and Systemic Risks

• Principles of effective visualization
• Storytelling with risk dashboards
• Visualization of contagion effects
• Tools for interactive reporting
• Best practices in communication

Module 12: Data Governance and Security

• Governance frameworks for risk data
• Confidentiality and access controls
• Cybersecurity in BI environments
• Compliance with legal standards
• Risk of data misuse

Module 13: Case Studies in BI for Risk and Macroprudential Policy

• Central bank experiences with BI tools
• Commercial bank applications
• Lessons from financial crises
• Emerging market practices
• Failures and lessons learned

Module 14: Challenges in BI Adoption for Risk Oversight

• Resource and infrastructure constraints
• Skills and capacity gaps
• Resistance to digital transformation
• Integration challenges with legacy systems
• Strategies to overcome barriers

Module 15: Practical Applications and Hands-On Training

• Building BI dashboards for credit risk
• Analyzing supervisory datasets
• Designing macroprudential monitoring tools
• Group projects and collaboration
• Peer-reviewed exercises

Module 16: Future of BI in Credit Risk and Macroprudential Analysis

• Trends in BI adoption for supervision
• Expanding role of AI and big data
• Real-time systemic risk monitoring
• Cross-border cooperation in oversight
• Preparing for next-generation BI solutions

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.