What kind of data types must the columns in the historical demand parameter worksheet include?

The historical demand parameter worksheet is designed to capture a range of data that enhances demand planning and analysis. The inclusion of reference data, date values, and quantities allows for a comprehensive view of historical trends and patterns in demand over time.

Reference data typically includes unique identifiers, such as product codes or customer IDs, which help in tracking and analyzing the demand associated with specific products or customers. Date values are crucial for establishing a timeline, allowing analysts to assess demand fluctuations across various periods. Quantity data reflects the actual demand figures during each time frame, providing the necessary numerical context for analysis.

By using these specific types of data, organizations can improve their forecasting accuracy and make informed decisions about inventory management, production, and supply chain logistics. Other combinations of data types, like monetary values or revenue structures, do not provide the complete historical context needed for effective demand analysis. Thus, the requirement for reference, date, and quantity data types ensures that the worksheet supports robust analytical processes essential for effective demand planning.