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Excel: Sales Forecasting

Excel: Sales Forecasting

1h 23mIntermediate2021-01-04

Authors

Michael McDonald

Michael McDonald

Researcher and Professor of Finance at Fairfield University

Course details

Creating accurate and reliable sales forecasts is essential for any sales leader. Professor Michael McDonald shows how to use Excel to forecast sales more effectively, beginning with a quick primer on sales forecasting, then explaining the business intelligence used in forecasting and the basics of regression analysis. Next, Michael shows how to use Excel to gather the necessary data for your forecast, how to cleanse data so that it will lead to more accurate forecasts, and how to interpret and explain the results of a regression forecast. The course concludes with a sample project, forecasting sales for a fictional restaurant. In this sample project, you’ll construct a data set, compute a simple set of forecast metrics, and construct an in-depth sales forecast. Finally, Michael explains the limitations of sales forecasting and how you can mitigate risk.

Skills covered

Microsoft OfficeSales SkillsOffice 365Microsoft 365SpreadsheetsSalesMicrosoft ExcelBusiness Software and ToolsMicrosoftDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Using Excel for sales forecasting

1. The Basics

  • 02 - What is sales forecasting
  • 03 - Business intelligence and company sales

2. What Goes into a Forecast

  • 04 - Conventional forecasting methods
  • 05 - Basics of business regression analysis
  • 06 - Predict values with regression analysis
  • 07 - Budgeting and forecasting using growth rates

3. Getting Data for a Forecast

  • 08 - Gather sales data
  • 09 - Using data from FRED
  • 10 - Clean sales data
  • 11 - Identifying outliers
  • 12 - What do the results mean
  • 13 - Confidence intervals around the result
  • 14 - Stress testing the results

4. Putting It All Together

  • 15 - Customer transaction forecasting
  • 16 - Running forecasts with non-numerical data
  • 17 - Interpreting your forecast

Conclusion

  • 18 - Running your own analysis

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