
Learn how sales forecasting uses historical data, mathematics, and logical reasoning to make accurate future predictions with quantitative methods, enabling stock planning, staffing, and better business decisions with Excel.
Collect at least a year of revenue data, plus tax, payroll, orders, and inventory. Organize in Excel as a list with variables in columns, dates first, records in rows chronologically.
Learn to create a baseline by compiling past revenue, sales, and order history into comparable periods to identify trends and forecast future sales.
Improve forecast accuracy in advance by gathering more data, separating signal from noise, and using equally spaced periods to establish a baseline for seasonal patterns.
Learn how moving averages separate signal from noise in sales data, treating the average as signal and the gap to actual results as noise, accounting for diverse noise sources.
Compute moving average forecasts for monthly sales in Excel, using two, three, or five periods to smooth data and reveal trends, then compare lagged results with formulas.
Learn to forecast sales quickly with Excel's trend function, using simple regression on monthly data and a baseline chart trend line. Compare trend and forecast options for flexible future projections.
Explore simple regression using one independent variable to forecast sales from advertising budgets in Excel, showing how to compute slope and intercept, display equation and R-squared, and build forecasts.
Explore exponential smoothing for seasonal sales forecasting using a smoothing constant and damping factor that sum to one, with step-by-step calculations and an Excel example.
Separate seasonality from trend using regression to establish a baseline, then forecast seasonal sales with exponential smoothing and combine trend and seasonality into a final forecast.
Explore multiple regression to forecast sales using predictor variables such as advertising budget and sales representatives, compare effects, and normalize inputs for accurate analysis.
Learn to build a sales forecast with multiple regression in Excel, using advertising budget and sales representatives as predictors, interpreting coefficients and r-squared to forecast future sales.
Balance signal and noise to improve sales forecast accuracy, noting forecasts become less accurate the farther out; use R squared and confidence intervals tied to standard error to judge forecasts.
Sales forecasting is not magic. This is a real thing called predictive analytics. You do not have to be a rocket scientist to understand it. With this course, you do not need to know higher mathematics at all.
Real business forecasting uses quantitative data collection methods, mathematics, and logical reasoning, there is very little guesswork involved and much to be gained for the business owner. Your historical data can be used to make accurate predictions about what will happen in the future, allowing you to order the appropriate amount of stock, hire enough employees, and ensure your business runs smoothly. The financial gains that can be achieved with business forecasting are real and can be achieved with the help of basic Excel techniques.
SCANBA produced high quality, easy to understand, the professional-level course that is right for you, as a person interested in business education.
Sales Forecasting by SCANBA is the course that will teach you how to forecast your sales in real life.
Trends? No problem! Seasonality? You got it! Accuracy? Nail it down.
By looking at data from the past, you can extrapolate trends that will allow you to make forecasts that are more accurate. These forecasts can be useful in all areas of business from sales, to management, to marketing. With your new knowledge on forecasting, you are on your way to making better business decisions.
With Excel examples, and professional lectures, you will learn the topic in just one hour!
You will learn:
3 major sales forecasting methods including moving average, exponential smoothing, and regression
2 additional extensions to the methods for in-depth analysis
5 Excel spreadsheet examples
Methods for predicting both seasonality and trends in your sales
By the end of the course, you will be able to pass an exam and receive a personalized certificate of completion from the Scandinavian Institute of Business Analytics.
Take the course, now -- remember, you are investing in yourself. The certificate from the Scandinavian Institute of Business Analytics will prove your expertise to others.