What is time derivation in SAP CA-DDF - Demand Data Foundation?

SAP Term: time derivation

• Component: CA-DDF

• Component Name: Demand Data Foundation

• Description: Process to derive various time granularities like 0CALDAY, 0CALWEEK, 0CALMONTH, 0CALQUARTER, 0CALYEAR and so on.

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• Key Concepts: 
  Time derivation is a feature of the Demand Data Foundation (CA-DDF) component of SAP. It allows users to define and calculate time-dependent values for demand planning. This includes the ability to define and calculate time-dependent values for demand planning, such as seasonal trends, product life cycles, and other factors that affect demand. 
  
  How to use it: 
  Time derivation can be used to create a forecast based on historical data. It can also be used to create a forecast based on external data sources, such as weather or economic indicators. The user can define the parameters for the time derivation, such as the start and end dates, the frequency of the data points, and the type of data points (e.g., daily, weekly, monthly). The user can also define how the data points are calculated (e.g., linear regression or exponential smoothing). 
  
  Tips & Tricks: 
  When using time derivation, it is important to consider the accuracy of the data points. If the data points are not accurate, then the forecast may not be accurate either. It is also important to consider how long it will take to generate a forecast using time derivation. If it takes too long, then it may not be worth using this feature. 
  
  Related Information: 
  Time derivation is related to other features in SAP such as forecasting and demand planning. It is also related to other components of SAP such as Supply Chain Management (SCM) and Advanced Planning & Optimization (APO). For more information about these features and components, please refer to SAP's official documentation.