---
sourceDocument: Australia Strategic Portfolio Management
sourceDocumentLink: https://www.servicenow.com/docs/r/de-DE/it-business-management

 Release :

    - australia

ft:locale :

    - de-DE

ft:publication_title :

    - Australia Strategic Portfolio Management

ft:clusterId :

    - itbm

bundleId :

    - itbm

workflow :

    - Technology


---

# Grooming and cleansing conditions - Legacy

# Grooming and cleansing conditions - Legacy {#ariaid-title1}

* Freigeben Version: Australia
* 
* Aktualisiert 12. März 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 Minute Lesedauer

Grooming conditions define how expenses are related to each other and to buckets when
you make changes in the workbench, while cleansing conditions define how financial data is
cleansed by segment.

## Grooming conditions

The workbench creates three types of grooming conditions:  
* Data cleansing conditions: Defines the expense combinations that you make during the Cleansing stage. For example, if you drag the expense entry for the Acme vendor onto the Acme Inc. vendor, the application creates a grooming rule that specifies to the workbench that all those expenses should be considered as belonging to the Acme Inc. vendor. The application does not actually add, delete, or modify the expense records in the General Ledger Cleansed Data table \[itfm_gl_data_cleansed\].
* Bucketing conditions: Defines which expenses you added to buckets during the Bucketing stage.
* Advanced query conditions: Defines which expenses are allowed to be added to buckets during the Bucketing stage. The application creates data cleansing and bucketing conditions automatically when you use the workbench. The only type of grooming condition that you create manually, either through the form view or through the workbench, is the advanced query condition.
{#c_GroomingConditions__ul_vst_qxf_xq}

## Cleansing conditions

The application creates cleansing conditions when you merge expenses in the [cleansing stage of the
workbench](https://www.servicenow.com/docs/zlFc~86fTHIT6p9IXDJCuQ "The Data Cleansing stage allows you to clean up the expenses that you imported into the application."). You do not need to modify these cleansing conditions.
* **[Modify advanced query conditions](https://www.servicenow.com/docs/bNtMUE1QSgQAQ88OZkgGiw)**   
  You can modify existing advanced query conditions, which define how expenses are added to buckets.

**Zugehörige Konzepte**   

* [Account buckets - Legacy](https://www.servicenow.com/docs/N5wv6iUKyY~vC0wzGx~YJQ "Account buckets help you categorize cleansed expenses before you assign the expenses to accounts and segments.")
* [Expense allocation - Legacy](https://www.servicenow.com/docs/uCqjwU3P3V1ahEFP7mNK_g "Expense allocation refers to the assignment of expenses to accounts in the hierarchy of segments.")
* [Metric weight maps - Legacy](https://www.servicenow.com/docs/NdIszCuicybH5_yVl9L91w "Weight maps are generated for each metric for every fiscal unit set in com.glide.fiscal_calendar.fiscal_unit property.")  
**Zugehörige Tasks**   

* [Use cost analysis to view the allocation of amount - Legacy](https://www.servicenow.com/docs/ducvcjgh0YoDHIq3KLFKQQ "Use cost analysis for a specific cost model for a fiscal period to view the cost lines using a UI similar to allocation workbench. Cost analysis helps you to view the bucket amount, the amount allocated to accounts, and the rolled up amount across segments and accounts based on the cost lines generated by the allocation engine.")  
**Zugehörige Verweise**   

* [Financial Management example allocations - Legacy](https://www.servicenow.com/docs/ojcJl7s7opyPbgrXlXz1zg "The demo data that is available with the Financial Management application provides examples of cost allocations that you can use to model allocation rules, methods, and metrics.")

