How To Fix PSSC_DBA152 - DBA model data for model &1 could not be saved

PSSC_DBA152 - Overview

• Message type: E = Error

• Message class: PSSC_DBA - Social Services Decision Basis

• Message number: 152

• Message text: DBA model data for model &1 could not be saved

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?

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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 PSSC_DBA152 - DBA model data for model &1 could not be saved ?

  The SAP error message PSSC_DBA152 indicates that there was an issue saving the model data for a specific model in the SAP system. This error typically occurs in the context of SAP Predictive Analytics or SAP BusinessObjects when working with data models.
  Possible Causes:
  
  Data Integrity Issues: There may be inconsistencies or errors in the data being processed, such as missing values or incorrect data types.
  Database Connection Problems: Issues with the database connection can prevent the model from being saved.
  Insufficient Permissions: The user may not have the necessary permissions to save changes to the model.
  Model Configuration Errors: There may be configuration issues within the model itself that prevent it from being saved.
  System Resource Limitations: Insufficient memory or disk space on the server can lead to failures when trying to save large models.
  
  Solutions:
  
  Check Data Integrity: Review the data being used in the model for any inconsistencies or errors. Ensure that all required fields