Corporate Financial Modelling Building Forecasts and Cash Flows

This DIXONTECH training course provides participants with the technical expertise and analytical techniques to develop robust corporate financial models for forecasting, valuation, and decision-making. It emphasizes practical modeling in Excel, integrating accounting, finance, and business principles to forecast revenues, expenses, investments, and cash flows. Participants will learn to design dynamic, error-free models that support strategic financial analysis and scenario planning for corporations and investment projects.

TRAINING TOPICS

• Fundamentals of Financial Modeling and Forecasting
• Designing Dynamic and Transparent Excel Models
• Linking Financial Statements (Income, Balance Sheet, Cash Flow)
• Revenue, Cost, and Working Capital Forecasting
• Capital Expenditure and Depreciation Modeling
• Debt, Interest, and Capital Structure Forecasting
• Cash Flow Statement Construction and Analysis
• Scenario, Sensitivity, and Monte Carlo Analysis
• Valuation Models (DCF, NPV, IRR, EVA)
• Presentation and Reporting of Financial Models

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

Build, analyze, and interpret comprehensive corporate financial models for forecasting, valuation, and cash flow analysis.

• Develop integrated and dynamic Excel-based models
• Forecast key financial metrics and business drivers
• Link financial statements accurately and efficiently
• Evaluate investment decisions using DCF and IRR models
• Conduct scenario and sensitivity analysis effectively
• Improve decision-making with financial insights
• Present model results for executive communication

TRAINING IS TAILORED TO

Finance professionals, analysts, and decision-makers seeking to enhance modeling accuracy, forecasting quality, and cash flow management.

• Financial Analysts and Controllers
• Corporate Finance Executives
• Business Planning and Budgeting Managers
• Investment and Equity Analysts
• Treasury and FP&A Professionals
• Accountants and Auditors
• Consultants and Entrepreneurs

TRAINING METHODOLOGY

DIXONTECH applies a hands-on, model-based learning approach using real corporate datasets and case studies. Participants will develop models from scratch, perform scenario analysis, and build forecasting frameworks using Excel tools such as Power Query, Solver, and Data Tables, ensuring practical application and professional accuracy.

DAY 1

FOUNDATIONS OF FINANCIAL MODELLING AND FORECASTING

• Overview of modeling objectives and design principles
• Best practices in model structure and transparency
• Understanding key financial statements and linkages
• Building model inputs, drivers, and assumptions
• Forecasting techniques and time series modeling
• Practical Excel tools for model efficiency
• Common modeling errors and how to avoid them
• Workshop: setting up a corporate forecast model

DAY 2

LINKING FINANCIAL STATEMENTS AND FORECAST COMPONENTS

• Integrating income statement, balance sheet, and cash flow
• Revenue modeling based on drivers and growth assumptions
• Cost of sales, margins, and overhead forecasting
• Working capital management and cash conversion cycles
• Capital expenditure planning and depreciation models
• Debt schedules and interest calculations
• Tax modeling and deferred tax analysis
• Case study: complete financial statement integration

DAY 3

CASH FLOW ANALYSIS AND VALUATION MODELS

• Building direct and indirect cash flow statements
• Identifying free cash flow and liquidity drivers
• Discounted Cash Flow (DCF) valuation framework
• Net Present Value (NPV) and Internal Rate of Return (IRR)
• Economic Value Added (EVA) and investment appraisal
• Terminal value estimation and growth sensitivity
• Cash flow reconciliation and validation techniques
• Workshop: build a DCF valuation model in Excel

DAY 4

SCENARIO, SENSITIVITY, AND RISK ANALYSIS IN MODELS

• Scenario planning and assumption management
• Sensitivity analysis with data tables and goal seek
• Monte Carlo simulation for uncertainty modeling
• Break-even and what-if analysis techniques
• Financial ratios and performance dashboards
• Stress testing and variance analysis
• Error-checking and model validation processes
• Case study: multi-scenario financial projection model

DAY 5

PRESENTATION, AUTOMATION, AND PROFESSIONAL MODEL DESIGN

• Model presentation techniques and executive dashboards
• Visualizing results using Excel charts and Power Query
• Dynamic summaries and decision-making visuals
• Automating updates with Excel formulas and VBA basics
• Model documentation and user guide design
• Reporting insights to management and investo