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Financial Modelling for Planning and Forecasting

Building Accurate, Data-Driven Models to Support Strategic Financial Decisions

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Why Choose Us

Financial Modelling for Planning and Forecasting Course expertise has become an essential capability for professionals responsible for making informed financial and strategic decisions. In a competitive and fast-moving business environment, organisations rely on accurate projections, structured planning tools, and dynamic models that support timely, evidence-based decisions. This Financial Modelling for Planning and Forecasting training course provides participants with a strong foundation in model design, forecasting techniques, and analytical skills that directly enhance organisational agility and performance.

This Financial Modelling Training Course helps participants understand how well-constructed models bring clarity to complex financial questions. Through practical Excel-based techniques, participants learn to organise assumptions, evaluate future outcomes, and apply forecasting tools that reflect real business conditions. The course draws on hands-on activities, ensuring each concept is practised and applied in a structured, step-by-step manner that builds confidence and capability.

The Financial Modelling for Planning and Forecasting training course also prepares professionals to manage uncertainty through scenario analysis, sensitivity assessments, and risk-based modelling. By linking forecasting outcomes to strategic priorities, participants learn how reliable models enhance planning accuracy, support long-term financial decisions, and contribute directly to organisational resilience. This practical, analytical, and decision-focused approach allows participants to transform data into actionable insights.

Why Choose Financial Modelling for Planning and Forecasting
Course Goals

What are the Goals?

This Financial Modelling for Planning and Forecasting training course equips participants with the essential skills required to build clear, reliable, and decision-oriented financial models. The course strengthens forecasting competency and improves the ability to interpret financial outputs for strategic and operational decision-making.

By the end of this Financial Modelling for Planning and Forecasting Course, participants will be able to:

  • Design structured and dynamic financial models aligned with best practices
  • Apply forecasting and planning techniques for revenues, costs, and key drivers
  • Analyse scenarios and perform sensitivity assessments to evaluate uncertainty
  • Evaluate investment and risk impact using model-based insights
  • Interpret modelling results to support accurate and timely business decisions

Who is this Training Course for?

This Financial Modelling for Planning and Forecasting training course is designed for professionals seeking to improve their financial modelling, forecasting accuracy, and decision-support capabilities. It is highly suitable for individuals who contribute to financial planning, budgeting, investment evaluation, or project analysis.

Participants who will benefit most from this Financial Modelling Training Course include:

  • Financial analysts and planners seeking stronger modelling capabilities
  • Business and budget managers responsible for financial projections
  • Corporate finance professionals supporting strategic planning
  • Project and investment managers evaluating feasibility and returns
  • Professionals involved in business forecasting and performance analysis
Learning Approach

How will this Training Course be Presented?

This Financial Modelling for Planning and Forecasting training course is delivered through an interactive and practical methodology that ensures deep understanding and skill development. Participants work through real-life case studies, hands-on Excel exercises, and guided modelling demonstrations to understand the mechanics behind effective financial models.

The presentation approach of this Financial Modelling Training Course includes:

  • Interactive discussions to reinforce key modelling concepts
  • Step-by-step Excel-based modelling activities
  • Practical exercises to apply forecasting and analytical techniques
  • Group work and case studies to build integrated planning and forecasting models

This approach ensures participants gain both technical capability and practical confidence in applying financial modelling tools in their workplace.

The Course Content

Introduction to Financial Modelling

  • Role of models in decision-making
  • Structuring financial models in Excel
  • Key functions and best practices
  • Building assumptions and drivers
  • Financial statement structure overview
  • Linking income, balance, cash flow

Forecasting Techniques and Applications

  • Revenue and cost forecasting methods
  • Forecasting assumptions and scenarios
  • Time series and regression models
  • Drivers of working capital changes
  • Forecasting capital expenditures
  • Forecasting funding and financing needs

Building Integrated Models

  • Creating dynamic integrated models
  • Modelling using historical data
  • Excel tools for dynamic modelling
  • Building cash flow forecasting models
  • Debt and interest modelling basics
  • Finalising the model for analysis

Scenario Planning and Risk Analysis

  • Introduction to scenario analysis
  • Sensitivity and what-if analysis
  • Monte Carlo simulation overview
  • Building flexibility into models
  • Stress testing assumptions
  • Presenting risk-adjusted projections

Strategic Planning and Valuation Models

  • Using models for strategic planning
  • Long-term financial forecasting models
  • Investment appraisal and valuation
  • KPI tracking and dashboard creation
  • Case study: end-to-end model build
  • Course wrap-up and best practices
Recognition

Certificate

  • • AZTech Certificate of Completion for delegates who attend and complete the training course.
Collaborations

In Partnership With

Anderson Copex Coventry

Frequently Asked Questions

Model structure, best practice, and the building of assumptions and drivers are addressed as the foundation of the course, covering how well-structured models are organised so that they are transparent, auditable, and easy to update. Delegates learn how to link income statements, balance sheets, and cash flow statements within a single integrated model — a skill that underpins every more advanced modelling technique covered later in the course. This structural discipline is emphasised throughout rather than being treated as a day-one-only topic  

Building dynamic integrated financial models is addressed as a core applied skill, covering how income statement, balance sheet, and cash flow projections are linked so that changes in one statement flow correctly through to the others. Historical data modelling, cash flow forecast construction, and debt and interest modelling are all addressed as components of the integrated model, and delegates finalise a complete integrated model during the course rather than working through disconnected exercises.  

Investment appraisal and valuation are addressed within the strategic planning and valuation models content, covering how financial models are used to evaluate investment decisions, project long-term financial performance, and support valuation analysis. Delegates learn how appraisal outputs — including NPV and IRR — are built into and driven by the model's assumptions and forecasts rather than calculated in isolation, giving them a complete model-driven approach to investment and valuation decisions.  

The course covers revenue and cost forecasting methods, time series models, regression-based forecasting, and the modelling of working capital drivers, capital expenditure, and funding needs. Forecasting assumptions and scenarios are addressed as model inputs that directly affect output reliability, giving delegates a structured approach to building forecasts that are transparent about their assumptions and can be updated efficiently as conditions change. These techniques are applied directly within Excel model-building exercises throughout the course.  

Scenario analysis, sensitivity and what-if analysis, Monte Carlo simulation, and stress testing of model assumptions are all covered as applied risk analysis techniques. Delegates learn how to build flexibility into models so that scenarios can be switched quickly and consistently, and how to present risk-adjusted projections in a format that is clear and useful for decision-makers. These techniques are taught as connected tools within a risk analysis workflow rather than as isolated methods.  

The case study asks delegates to build a complete financial model from scratch, incorporating the structuring, forecasting, integration, scenario analysis, and valuation techniques covered across the course into a single end-to-end model. It is designed as a consolidating applied exercise that mirrors the real-world modelling challenges finance professionals face when building a model to support a planning or investment decision. Delegates leave with a complete, reviewed model they can reference and adapt for their own work.  

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