image
The Ultimate Drawing Course Beginner to Advanced...
$179
$79
image
User Experience Design Essentials - Adobe XD UI UX...
$179
$79
Total:
$659

Description

What is the aim of this course?
During many consulting projects, you may be asked to forecast the sales of the firm or check sales forecast models done by the customer
.
Sales forecasting requires a specific approach to data and also a lot of creativity, thinking outside the box, to address the issue of insufficient data and the changing environment. In this course, I will teach you how to do fast and efficiently
basic sales forecast models in Excel
. We will create relatively simple sales forecasts. Nevertheless, they will significantly help your customer define strategy, and decide whether he should open a new factory, enter a new field, or buy a business.
We will NOT get into complicated models, or forecasts
as in most cases you will have neither time nor data to do them. It would also require a wider knowledge of mathematics, statistics, econometrics, and the usage of more advanced tools than Excel. The things you will learn in this course will be sufficient in 70% of the cases and can be done with the knowledge of basic Math. Such basic sales forecasts are especially important during Strategy projects, M&A projects, and business development projects. In such projects, you want to get fast rough sales forecasts using simple methods. A similar approach as we will show in this course can be used as the starting point for budgeting models.
In the course, you will learn the following things:
The
essential concepts
in sales forecasting

and
the main tools
that you may need
.
How to
forecast sales in Excel
using
simple methods
fast and efficiently
What
drivers of sales
you should take into account
for selected industries?

We will look at
different case studies
to see how you can move
from drivers to a working model in Excel
This course is based on my 15 years of experience as a consultant in top consulting firms and as a Board Member responsible for strategy, performance improvement, and turn-arounds in the biggest firms from Retail, FMCG, SMG, B2B, and services sectors that I worked for. I have carried out or supervised over 90 different performance improvement projects in different industries that generated a total of 2 billion in additional EBITDA. On the basis of what you will find in this course, I have trained in person over 100 consultants, business analysts, and managers who now are Partners in PE and VC funds, Investment Directors and Business Analysts in PE and VC, Operational Directors, COO, CRO, CEO, Directors in Consulting Companies, Board Members, etc. On top of that my courses on
Udemy
were already taken by more than
224 000 students
including people working in McKinsey, EY, Walmart, Booz Allen Hamilton, Adidas, Naspers, Alvarez & Marsal, PwC, Dell, Walgreens, Orange, and many others.
I teach through case studies, so you will have a lot of lectures showing examples of analyses, and tools that we use. For every lecture, you will find attached (in additional resources) the Excels as well as additional presentations, and materials shown in the lectures. Therefore, as a part of this course, you will also get a library of ready-made analyses that can, with certain modifications, be applied by you or your team in your work.
Why have I decided to create this course?
Most management consultants avoid the topic of sales forecasting due to insufficient knowledge of mathematics, probability, and statistics. To make advanced models you need those things. However, in most cases, a simple approach using Excel can produce pretty good results. For that, you don’t have to spend 5 years studying math.
Therefore, I have decided to create this course that will help students
understand or refresh the main skills and tools
that they need during consulting projects to do
basic sales forecasting
. The course will give you the knowledge and insight into real-life case studies that will make your life during a consulting project much easier. Thanks to this course, you will know what and how to do during the consulting project, when you will be asked to forecast sales. You will see how to identify what drivers are important in specific businesses and how to use them to build simple models in Excel.
To sum it up, I believe that if you want to become a world-class Management Consultant or Business Analyst you have to have a pretty decent understanding of how to do essential sales forecasting. That is why, I highly recommend this course to Management Consultants and Business Analysts, especially those that did not finish, mathematics and econometrics. The course will help you become pretty good at doing simple sales forecasting models in Excel on the level of McKinsey, BCG, Bain, and other top consulting firms.
In what way will you benefit from this course?
The course is a practical, step-by-step guide loaded with tons of analyses, tricks, and hints that will significantly improve the speed with which you understand, and analyze businesses. There is little theory – mainly examples, a lot of tips from my own experience as well as other notable examples worth mentioning. Our intention is that thanks to the course you will learn:
The
essential concepts
in sales forecasting

and
the main tools
that you may need
.
How to
forecast sales in Excel
using
simple methods
fast and efficiently
What
drivers of sales
you should take into account
for selected industries
You can also ask me any question either through the discussion field or by messaging me directly.
How the course is organized?
The course is divided currently into 3 sections. Currently, you will find the following sections:
Introduction.
We begin with a little intro to the course as well as some general info on how the course is organized
Basics of Sales Forecasting.
In sales forecasting, you can use different approaches. We will discuss them in this section and I will give you some tips on which one you should use in a specific situation.
Useful Tools for Sales Forecasting.
In sales forecasting, you can use different tools. We will discuss them in this section. We will talk about disaggregation, simulations, sensitivity analysis, and random variables. We will, later on, need those concepts to solve case studies
Case Studies in Sales Forecasting
. Finally, in the 4th section, we will move to case studies devoted to specific industries. We will look at 6 case studies and I will show you how to move from general drivers for the business to a model in Excel that you can use
You will be able also to download many additional resources
1. Useful frameworks and techniques
2. Analyses shown in the course
3. Additional resources
4. Links to additional presentations, articles, and movies
5. Links to books worth reading
At the end of my course, students will be able to…
Identify the main drivers for a specific business
Translate the drivers into basic sales forecast models
Create the sales forecast models in Excel
Create simple simulations & sensitivity analysis
Who should take this course? Who should not?
Management Consultants and Business Analysts
Financial Controllers
Investment Analysts
Startup Founders
Project Managers
Managers responsible for Acquisitions and Mergers
What will students need to know or do before starting this course?
Basic or intermediate Excel
Basic knowledge of economics
Basic or intermediate knowledge of finance & accounting
Who this course is for:
Management Consultants
Business Analysts
Financial Controllers
Investment Analysts
Startup Founders
Project Managers
Managers responsible for Acquisitions and Mergers

What you'll learn

Identify main drivers for specific business models

Translate the drivers into a basic sales forecast models

Create the sales forecast models in Excel

Create simple simulations & sensitivity analysis

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
5
1.1-Introduction
1.2-A little bit about me
1.3-How the course is organized
1.4-How to deal with Blurry image
1.5-How to reach additional resources
2-Basics of Sales Forecasting
4
2.1-Basics of Sales Forecasting – Introduction
2.2-Different approaches to sales forecasting
2.3-Data Base for Sales forecasting
2.4-What you have to account for in sales forecasting
3-Useful Tools for Sales Forecasting
25
3.1-Useful Tools for Sales Forecasting – Introduction
3.2-Scenario analysis – Introduction
3.3-Which price formula is the best for my profits – Introduction
3.4-Which price formula is the best for my profits – Solution – Times & Materials an
3.5-Which price formula is the best for my profits – Solution – Mixed Options
3.6-Simulation analysis – Introduction
3.7-What will be the effect of the price increase – Introduction
3.8-What will be the effect of the price increase – Solution – Impact on coffee only
3.9-What will be the effect of the price increase – Solution – Impact on coffee and
3.10-Juice Producer – Simulation – Introduction
3.11-Juice Producer – Simulation – Tips how to do it
3.12-Juice Producer – Simulation – Solution
3.13-Decomposition of effects analysis – Introduction
3.14-LFL analysis – Introduction
3.15-LFL analysis – Solution – Part 1
3.16-LFL analysis – Solution – Part 2
3.17-LFL analysis – Solution – Power Point
3.18-Sensitivity analysis – Introduction
3.19-Sensitivity analysis – Solution In Excel
3.20-Sensitivity analysis – Solution in Power Point
3.21-Simple Regression Model – Introduction
3.22-Simple Regression Model – Example
3.23-Random Variables
3.24-Random Variables in Excel – Introduction
3.25-Random Variables in Excel – Examples
4-Case Studies in Sales Forecasting
35
4.1-Case studies – Overview
4.2-Plywood sales forecasting – Case Introduction
4.3-Plywood sales forecasting – Drivers
4.4-Plywood sales forecasting – Engine
4.5-Plywood sales forecasting – Simulations
4.6-Book publisher – Case Introduction
4.7-Book publisher – Drivers
4.8-Book publisher – Seasonality & Aging
4.9-Book publisher – New Books Modeling
4.10-Book publisher – Old Books Modeling
4.11-Book publisher – Summary
4.12-Cosmetics producer – Case Introduction
4.13-Cosmetics producer – Drivers
4.14-Cosmetics producer – Data Available
4.15-Cosmetics producer – Next Year Forecast
4.16-Cosmetics producer – Changes
4.17-Retailer new & old stores – Case Introduction
4.18-Retailer new & old stores – Drivers
4.19-Retailer new & old stores – Data Available
4.20-Retailer new & old stores – New Stores
4.21-Retailer new & old stores – Old stores
4.22-Retailer new & old stores – Change
4.23-Consulting Firm Sales Forecast – Case Introduction
4.24-Consulting Firm Sales Forecast – Drivers
4.25-Consulting Firm Sales Forecast – Data Available
4.26-Consulting Firm Sales Forecast – Maximal and Expected Sales
4.27-Consulting Firm Sales Forecast – Sales by Type
4.28-Consulting Firm Sales Forecast – Random Delay in the Start
4.29-Drones Sales Forecasting – Case Introduction
4.30-Drones Sales Forecasting – Drivers
4.31-Drones Sales Forecasting – Data Available
4.32-Drones Sales Forecasting – Modeling Sales via Amazon
4.33-Drones Sales Forecasting – Modeling Sales via Retail Chain
4.34-Drones Sales Forecasting – Total Sales
4.35-Drones Sales Forecasting – How to create the simulation
5-Conclusions
1
5.1-Bonus Lecture