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In this tutorial, the speaker explains how to create automated forecasts using historical data, a common practice in business for budgeting and forecasting. The process involves consolidating past sales data from previous years to project future sales. The speaker demonstrates how to calculate sales forecasts based on the average of historical results while ensuring these forecasts align with the overall data model. Additionally, viewers learn how to integrate various data points, such as location, to refine their forecasts further. The approach aims to streamline the forecasting process by leveraging available historical information effectively.