Introduction
Over time, SAP Business One databases can accumulate outdated or unnecessary master data, which can slow down system performance and make navigation more complex. The Master Data Cleanup Wizard provides a structured approach to removing or deactivating redundant master data, optimizing database efficiency, and improving operational performance.
This guide walks you through the preparation, execution, and management of master data cleanup in SAP Business One.
What is the Master Data Cleanup Wizard?
The Master Data Cleanup Wizard is a built-in tool in SAP Business One that allows businesses to:
Identify and remove outdated or redundant master data.
Deactivate records that are no longer in use but need to be retained.
Improve database performance by reducing data clutter.
Manage G/L accounts, business partners, items, cost centers, project codes, tax codes, and employee records.
Ensure compliance by maintaining accurate and relevant data in the system.
Preparing for a Master Data Cleanup
Before initiating a cleanup, follow these preparation steps to ensure a smooth and error-free process:
Backup the Database
Before making any changes, always perform a full database backup to prevent data loss.
Ensure No Active Users
All users must log out of SAP Business One to avoid conflicts during the cleanup process.
Close All Open Windows
Ensure that all application windows are closed to avoid system errors.
What Data Can Be Cleaned Up?
The following master data types can be removed or deactivated during a cleanup:
Object | Description |
---|---|
G/L Accounts | Accounts not connected to non-removable data. |
Business Partners | Partners with no pending transactions. |
Items | Items with no recent transactions. |
Cost Centers | Cost centers not linked to active transactions. |
Distribution Rules | Unused rules that are not required. |
Project Codes | Inactive projects that can be archived. |
Tax Codes | Unused tax codes no longer applicable. |
Employee Records | Employees no longer with the company. |
How to Perform a Master Data Cleanup
Step 1: Launch the Master Data Cleanup Wizard
Go to Administration > Utilities > Master Data Cleanup Wizard.
Click Next in the Introduction screen.
Step 2: Start a New Cleanup Run
In the Wizard Options window, select Start New Master Data Cleanup Run.
Click Next.
Step 3: Select Data for Cleanup
Choose the master data categories you wish to clean up.
Use filters to refine your selection.
Click Next to proceed.
Step 4: Review Recommendations
SAP Business One will analyze selected data and suggest actions (remove, deactivate, or retain).
Review each recommendation carefully.
Adjust actions as needed.
Click Next.
Step 5: Execute Cleanup
Confirm selections.
Click Execute to process the cleanup.
A progress bar will display the status of the cleanup.
Step 6: Review Cleanup Summary
Once completed, a summary screen will display the results.
Click Finish to complete the process.
Managing Cleanup Runs
SAP Business One allows users to load saved cleanup runs for future reference or modification.
Track past cleanup runs to see what data was removed.
Modify and re-run saved cleanups as needed.
Examine database changes for auditing and compliance.
To access saved cleanup runs:
Go to Administration > Utilities > Master Data Cleanup Wizard.
Select Load Saved Master Data Cleanup Run.
Choose a saved run and click Next.
Best Practices for Data Cleanup
Always backup the database before performing a cleanup.
Schedule cleanups during off-peak hours to minimize disruptions.
Perform a trial cleanup in a test environment before applying changes to a live database.
Regularly review and update master data policies to prevent data clutter.
The Master Data Cleanup Wizard in SAP Business One helps businesses maintain a clean and optimized database. By systematically removing outdated records, companies can enhance system performance, improve navigation, and ensure compliance with data management best practices. For further assistance, download the complete guide below, visit our Knowledge Base or contact our support team.
Was this article helpful?
That’s Great!
Thank you for your feedback
Sorry! We couldn't be helpful
Thank you for your feedback
Feedback sent
We appreciate your effort and will try to fix the article