Modules
This training course is split into the following modules:
Module I - Financial Analysis, Planning & Control
Module II - Artificial Intelligence (AI) for Accounting and Finance Professionals
Course Outline
Module I: Financial Analysis, Planning & Control
Day 1
The Challenge of Financial Economic Decision-Making
- The Practice of Financial / Economic Analysis
- The Value-creating Company
- Corporate Value and Shareholder Value
- A Dynamic Perspective of Business
- The Agency Problem and Corporate Governance
- What information and data to use?
- The Nature of Financial Statements
- The Context of Financial Analysis and Decision-making
Day 2
Assessment of Business Performance
- Ratio Analysis and Business Performance
- Management’s Point of View
- Owners’ Point of View
- Lenders’ Point of View
- Ratios as a System – Pyramids of Ratios
- Integration of Financial Performance Analysis
- Economic Value Added (EVA)
- Predicting Financial Distress and Z-score Model
Day 3
Analysis of Investment Decisions
- Applying Time-adjusted Measures
- Net Present Value (NPV) and Internal Rate of Return (IRR)
- Modified Internal Rate of Return (MIRR)
- Strategic Perspective
- EVA and NPV
- Refinements of Investment Analysis
- Equivalent Annual Cost (EAC)
- Sensitivity Analysis, Scenario Analysis, Simulation, and NPV Break-even
- Dealing with Risk and Changing Circumstances
Day 4
Projection of Financial Requirements
- Interrelationship of Financial Projections
- Operating Budgets
- Standard Costing and Variance Analysis
- Cash Forecasts and Cash Budgets
- Sensitivity Analysis
- Dynamics and Growth of the Business System
- Operating Leverage
- Financial Growth Plans
- Financial Modelling
Day 5
Valuation and Business Performance
- Managing for Shareholder Value
- Shareholder Value Creation in Perspective
- Evolution of Value-based Methodologies
- Creating Value in Restructuring and Combinations
- Financial Strategy in Acquisitions
- Business Valuation
- Business Restructuring and Reorganisations
- Management Buy Outs (MBOs) and Management Buy Ins (MBIs)
Module II: Artificial Intelligence (AI) for Accounting and Finance Professionals
Day 6
Foundations of AI in Accounting and Finance
- What AI challenge or goal can dramatically impact their role?
- Overview of AI technologies and trends in accounting and finance
- Exploring financial challenges AI can address
- Introduction to data: Sources, cleaning, and preparation
- AI’s impact on financial reporting and auditing
Day 7
AI-Driven Financial Analysis
- Machine learning applications for financial analysis
- Predictive analytics for cash flow, investment, and risk management
- Workshop: Building and interpreting AI-powered financial models
- AI insights for investment decisions
Day 8
Fraud Detection and Risk Management
- AI applications for fraud detection
- Developing machine learning models for compliance and risk assessment.
- NLP for regulatory reporting
- Creating a fraud detection framework using AI tools
Day 9
AI for Budgeting and Forecasting
- AI techniques for budget creation, variance analysis, and dynamic planning
- Forecasting revenue and expenses using economic data
- Practical Workshop: Developing AI-enhanced financial forecasts
- AI’s role in budgeting reforms within organizations
Day 10
Ethical and Strategic AI Integration
- Ethical considerations in AI-driven decision-making
- Regulatory frameworks for AI in finance, focusing on compliance standards
- Crafting an AI adoption strategy: Organizational alignment and implementation
- Wrap-Up: Key takeaways, participant reflections, and future trends
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