Course Description

Build more powerful and more accurate financial models to better analyse financial data, predict revenues and costs, assess risks, and justify critical business decisions.

In this course, you will build robust financial models, learn tips and tools, analyse the results, and learn how to communicate key data to decision makers in your organisation. Build the model and generate the forecast that will drive the business. Create more powerful and accurate forecasting models that steer you to fast-track, business-improving decision making.

Course Objectives

Working with advanced Excel modelling techniques such as data analysis and add-ins

Creating your own model from real-world examples

Analysing and applying diagnostics to validate your forecast

Understanding how risk models handle uncertainty

Transforming Excel skills to advanced knowledge of Excel for financial modelling

Enhancing the ability to apply business statistics

Effective data analysis to improve day-to-day operation activities

Who should attend?

This training course is designed for professionals in every area of business:

Decision Makers and Performance Monitoring Specialists

Budgeting and Financial Modelling Specialists

Finance Officers

Business Analyst

Accountant and Analysts

Business & Financial Analysts

Project Managers

Project Accountants. Etc.

Course Overview

Financial Modelling Principles

Using Data Analysis to Solve Business Problems

Learn the Steps to create good Financial Models

The steps to improving traditional financial models

Types of Data �

o Primary & Secondary Data
o Quantitative and Qualitative Data

Understanding the Concept of Normal Distribution

Learn to use Flowcharting Tools & Techniques in Excel

Trend Analysis Using Excel

Time Series Analysis

Essential Models for Financial Analysis

Make vs. Buy decision models (Excel model)

Lease vs. Buy decision models (Excel model)

Calculating the Mean; Median and Mode of a range of data

Regression Techniques to Calculate the Cost of Equity Financing

Deciding on Benchmarks & industry standards, Breakeven analysis, and options (Excel model)

Leverage: Operating vs. Financial vs. Combined (Excel model)

Versions of Altman�s Z-Score for predicting insolvency (Excel model)

Scenario & Sensitivity Analysis

Install & Utilise the Excel Analysis ToolPak

Ways to use Excel�s Scenario Manager

Build Data Tables to create large ranges of results

Goal Seek (Excel model)

Optimisation with Excel�s Solver

VLOOKUP & HLOOKUP functions (Excel model)

INDEX and MATCH functions (Excel model

Use of Scenario Analysis and Stress Testing

Forecasting Fundamentals

Forecasting Vs Budgeting

Revenue vs. Costs vs. Profits Forecast

Calculate the Internal (IGR) & Sustainable (SGR) Growth Rates

Data Analysis of Project Investment Decisions

Keep vs. Replace analysis side by side

Learn why the Weighted Average Cost of Capital (WACC) is used in Capital Budgeting Models

Use Net Present Value (NPV) and Internal Rate Return (IRR) Models in Making Capital Expenditure Decisions

Why is Profitability Index (PI) & MIRR (Modified Internal Rate of Return) are good alternatives?

Evaluating Projects with different lives using an Equivalent Annual Cost (EAC) method

Establishing the Firm�s Optimal Capital Structure

Modelling Risk, Uncertainty & Decisions

Solve Lease vs. Buy decision

Risk in the real world

Develop a risk matrix

How You Will Benefit

By the end of the training, participants will be able to:

Improve the quality of the quantitative analysis of corporate presentations

Create effective financial models that meet your business needs

Quantify the uncertainty inherent in forecasting models with various risk analysis techniques

Use the model investment appraisal techniques

Use business statistics to enhance operations and target setting for the organization

Make better, more profitable business decisions using advanced financial modeling methods

Identify and Utilise key business drivers and integrate them into your forecast

Effectively communicate the results of your models to team members and senior Management

Identify uncertainty in the model and design methods to address it

Teaching Approach
This course combines instructor-led with case studies, group discussion and hands-on expansion of instructor-provided templates to produce a greater return-on-investment for the employer and the seminar participant.