How To Fix RSCV072 - Time dimension entries not being used were successfully removed

RSCV072 - Overview

• Message type: E = Error

• Message class: RSCV - Analysis of BW objects (InfoCubes...)

• Message number: 072

• Message text: Time dimension entries not being used were successfully removed

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 RSCV072 - Time dimension entries not being used were successfully removed ?

  The SAP error message RSCV072 indicates that time dimension entries that were not being used have been successfully removed from the system. This message is typically related to the data warehousing and reporting functionalities within SAP BW (Business Warehouse) or SAP HANA.
  
  Cause:
  The error message RSCV072 is not necessarily an error in the traditional sense but rather an informational message. It occurs when the system performs a cleanup operation on the time dimension entries in the data model. This can happen for several reasons:
  
  Unused Time Entries: The time dimension may contain entries that are no longer linked to any data or are not being utilized in any reporting or analysis.
  Data Model Changes: Changes in the data model or the way data is processed can lead to certain time entries becoming obsolete.
  Data Cleanup Processes: Regular maintenance or data cleanup processes may be configured to remove unused or redundant entries to optimize performance.
  
  
  Solution:
  Since