ProspenAfrica | Training and Consulting Services Provider

Financial Analysis, Modelling and Forecasting

Essential Skills for Managing Business Risk and Performance

5 Day Training

Dates: 15 – 19 July | 02 – 06 September 2024
Locations: Johannesburg, South Africa
Platform: Available In-Class / Online

Price: Available on Request

Course Introduction

This leading edge Financial Analysis, Modelling and Forecasting training course will provide you with the essential financial modelling skills to analyse and manage risk and business performance in the turbulent conditions of the 21st century. In today’s globally competitive world decision-makers face unprecedented levels of risk and uncertainty and traditional financial analysis and forecasting tools do not provide the flexibility and responsiveness to manage in these demanding conditions.


This practical hands-on training course will provide you with the methods and techniques of financial modelling in Excel that will equip you with a set of powerful financial tools with which to anticipate and manage the opportunities and threats confronting your organisation. 

Course Objectives

By the end of this Financial Analysis, Modelling and Forecasting training course you will have learned to:

  • Design and build practical and effective financial models in Excel

  • Improve your skills in analysing and interpreting financial statements

  • Build financial forecasting models for a range of business applications

  • Apply financial modelling techniques to investment decision-making

  • Use a range of tools to analyse and manage business risk

Who should attend?

  • Financial Accounting Team Members

  • Cost and Management Accounting Staff

  • Finance Managers

  • Planning Managers

  • Commercial Managers

  • Capital Investment and Project Team Members

Finance Courses

Training Methodology

Our diverse instructional approaches ensure effective learning:

– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.

Training Outline

Module 1

The Competitive Challenge in the 21st Century 

  • Identifying and Managing Stakeholder Needs

  • Business Models and How They are Disrupted

  • An Integrated Approach to Risk Management

  • The Essentials of Business Performance Management

Fundamentals of Financial Modelling

  • Financial Statements Basics

  • Fundamentals of Financial Modelling

Module 2

Mastering Financial Analysis 

  • Building a Financial Ratio Database in Excel

  • Practical Modelling: The Cost-Volume-Profit Relationship

  • Measuring and Improving Return On Investment

  • Measuring and Improving Asset Management Efficiency

  • Measuring and Managing Capital Structure and Risk

  • Practical Modelling: The Effect of Gearing on Shareholders’ Earnings

Module 3

Improving Financial Forecasting 

  • Practical Modelling: Using Excel Statistical Analysis Tools

  • Avoiding Common Forecasting Problems

  • Using Moving Averages to Analyse Time Series Data

  • Using Linear Regression for Sales Trend Analysis

  • Using Excel Solver to Minimise Forecasting Error

  • Using Regression and Correlation to Forecast Costs

  • Practical Modelling: Cash Flow Forecasting

Module 4

Financial Models to Improve Investment Decision-making 

  • Principles of Capital Investment Decision-making

  • Sources and Cost of Business Finance

  • Practical Modelling: Using Excel Discounted Cash Flow Tools

  • Practical Modelling: Capital Investment Analysis

  • Essentials of Business Valuation

  • Practical Modelling: Business Valuation Based on Shareholder Value Added

Module 5

Managing Risk and Uncertainty 

  • Identifying and Analysing Business Risk

  • Probability Based Approach to Decision-making

  • Monte Carlo Simulation

  • Sensitivity Analysis and “what-if” Forecasting

  • Identifying the Key Drivers of Financial Performance

  • Practical Modelling: Key Driver “what-if” Forecast

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