Forecasting and Budgeting with Advanced Modelling Techniques

Introduction to Forecasting and Budgeting
• Importance of forecasting and budgeting in strategic planning.
• Key differences between forecasting, budgeting, and financial planning.
• Overview of tools and techniques in financial modelling.
Advanced Forecasting Techniques

• Understanding time-series analysis and trend projection.
• Regression analysis and its application in financial forecasting.
• Scenario analysis and stress testing for business resilience.
• Incorporating external variables (economic indicators, market trends, etc.) into forecasts.
Advanced Budgeting Approaches

• Zero-based budgeting vs. traditional budgeting.
• Activity-based budgeting for cost efficiency.
• Rolling budgets and continuous planning for dynamic businesses.
• Linking budgets to performance metrics and KPIs.
Financial Modelling Tools and Techniques
• Building dynamic models in Excel using advanced formulas and functions.
• Introduction to Power BI for budgeting and forecasting.
• Macros and VBA for automating financial modelling processes.
• Using Monte Carlo simulations for risk assessment and probability forecasting.
Data Analysis for Forecasting and Budgeting
• Data sourcing, cleaning, and preparation for accurate forecasts.
• Statistical tools and techniques for analyzing financial data.
• Data visualization techniques for presenting forecasts and budgets.
• Integration of machine learning techniques in predictive modelling.
Implementation and Monitoring
• Best practices for implementing forecasting and budgeting processes.
• Tools and methods for monitoring budget adherence and forecast accuracy.
• Techniques for variance analysis and corrective actions.
• Building a feedback loop for continuous improvement in forecasting and budgeting

1ST BATCH: Tuesday, February 10, 2026 — Friday, February 13, 2026.

2ND BATCH: Tuesday, June 2, 2026 — Friday, June 5, 2026.

3RD BATCH: Monday, September 28, 2026 — Wednesday, September 30, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.