Data Cleansing Case for Business Partner Transaction - trillium_quality - 17.2

Trillium Quality for SAP Reference Guide

Product type
Software
Portfolio
Verify
Product family
Trillium
Product
Trillium > Trillium Quality
Version
17.2
Language
English
Product name
Trillium Quality
Title
Trillium Quality for SAP Reference Guide
First publish date
2008
Last updated
2024-04-08
Published on
2024-04-08T11:11:33.467656

The Data Cleansing Case function lets you review selected duplicate records so that you can merge the data into a single record and delete all obsolete records. This section describes how to create a data cleansing case number using the fuzzy/rough search functionality. For more information about using the Data Cleansing Case function, see your SAP documentation.

Note: SAP CRM WebClient has a standard SAP Merge Accounts feature that allows you to create the cleansing case and merge the records.  See the SAP documentation for further details.

To create a data cleansing case number

  1. In the Fuzzy/Rough Search screen, enter a name and/or the address data, and then click .

    Figure 1. Fuzzy/Rough Search Selection ScreenFuzzy/Rough Search Selection Screen
  2. From the list of potential records, select the relevant records.

  3. Click the Create Cleansing Case button to create a data cleansingcase number.

  4. When the Create Cleansing Case Note screen displays, enter a meaningful description of the task (for auditing purposes) in the Note field, the ID of the user authorized to perform the task in the User field, and a priority code in the Priority field.

    Figure 2. Create Cleansing Case Note Field for Audit TrailCreate Cleansing Case Note Field for Audit Trail
  5. Click to continue. A cleansing case number is created and displayed in a pop-up screen.

    Figure 3. Cleansing Case Number Created Cleansing Case Number Created
  6. Click  to finish.

The cleansing case for the selected records is now ready for further processing using transaction bupa_clear. See the SAP documentation for details on Data Cleansing Case via transaction bupa_clear.