What is data cleansing in SAP IS-R-DM - Demand Management?

SAP Term: data cleansing

• Component: IS-R-DM

• Component Name: Demand Management

• Description: The process of verifying that data received from a retailer is ready forimport to the solution. This includes cross-validationof files and system exception checks.

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• Key Concepts: 
  Data cleansing is the process of identifying and correcting inaccurate or incomplete data in a database. It is an important part of data management and is used to ensure that the data is accurate, consistent, and up-to-date. In SAP IS-R-DM Demand Management, data cleansing is used to ensure that the data stored in the system is accurate and up-to-date.
  
  How to use it: 
  Data cleansing in SAP IS-R-DM Demand Management can be done manually or automatically. To manually cleanse data, users can use the Data Cleanup tool to identify and correct any errors or inconsistencies in the data. To automate the process, users can set up rules and conditions that will automatically cleanse the data when certain criteria are met.
  
  Tips & Tricks: 
  When manually cleaning up data, it is important to be thorough and check for any errors or inconsistencies. It is also important to keep track of any changes made so that they can be easily reversed if needed. Additionally, when setting up automated rules for data cleansing, it is important to make sure that the rules are set up correctly so that they do not inadvertently delete or modify any important data.
  
  Related Information: 
  Data cleansing is an important part of data management and is used to ensure that the data stored in a system is accurate and up-to-date. It can be done manually or automatically using rules and conditions. Additionally, there are other tools available in SAP IS-R-DM Demand Management such as Data Validation and Data Transformation which can be used to further improve the accuracy of the data stored in the system.