What is sort attribute in SAP SCM-IBP - Integrated Business Planning?

SAP Term: sort attribute

• Component: SCM-IBP

• Component Name: Integrated Business Planning

• Description: An attribute used within a segment to sort demands. For example, segment A consists of all the sales orders of priority 1 customers for the next 2 weeks sorted by the following: Delivery Priority in ascending order Delivery Date in ascending order Revenue in descending order Here delivery priority, delivery date, and revenue are the sort attributes for segment A.

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• Key Concepts: 
  Sort attribute is a feature of SAP SCM-IBP Integrated Business Planning that allows users to sort and organize data in a specific order. It is used to prioritize and group data according to user-defined criteria. Sort attributes can be used to sort data by product, customer, region, or any other criteria that the user wishes to use. 
  
  How to Use It: 
  To use the sort attribute feature, users must first define the criteria they wish to use for sorting. This can be done by selecting the desired criteria from a list of available options. Once the criteria have been selected, users can then select the order in which they wish to sort the data. This can be done by selecting either ascending or descending order. 
  
  Tips & Tricks: 
  When using the sort attribute feature, it is important to remember that sorting data in ascending or descending order will not change the underlying data itself. It will only change the way it is displayed. Additionally, users should be aware that sorting data in a certain order may not always yield the desired results. 
  
  Related Information: 
  The sort attribute feature is closely related to other features of SAP SCM-IBP Integrated Business Planning such as filtering and grouping. Filtering allows users to narrow down their search results by applying specific criteria while grouping allows users to organize their data into distinct categories. Both of these features can be used in conjunction with the sort attribute feature for more powerful data analysis and organization.