How To Fix UJA_DATA_CHECK021 - Invalid data in rule table &1; check the data

SAP Error Message - Details

• Message type: E = Error

• Message class: UJA_DATA_CHECK - BPC: Messages for Data Check

• Message number: 021

• Message text: Invalid data in rule table &1; check the data

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message UJA_DATA_CHECK021 - Invalid data in rule table &1; check the data ?

  The SAP error message UJA_DATA_CHECK021 indicates that there is invalid data in a rule table, which is typically related to the configuration of the SAP system, particularly in the context of data processing or data validation rules. This error can occur in various modules, such as SAP BW (Business Warehouse) or SAP BPC (Business Planning and Consolidation), where rules are defined for data transformation or validation.
  
  Cause:
  The error can be caused by several factors, including:
  
  Incorrect Configuration: The rule table may have been incorrectly configured, leading to invalid entries or missing required fields.
  Data Integrity Issues: There may be inconsistencies or invalid data in the source data that the rules are trying to process.
  Missing or Incomplete Data: Required fields in the rule table may be missing or incomplete, causing the validation to fail.
  Data Type Mismatch: The data types of the fields in the rule table may not match the expected types, leading to