You can also create a condition to filter the data that goes into the bucket. These bucket filter conditions are also called grooming conditions, and they are the Advanced query conditions type.

1. Click the filter icon in the bucket.
2. Fill in the form fields (see table).
3. Click Submit.

   

   Table 1. Fields for bucket filter conditions

   Field	Description
   Name	Descriptive name for the condition.
   Priority	Value that determines when the filter is applied relative to other filters. If two filters have the same settings, the filter with a higher priority is applied.
   Table	The table containing the expenses that are filtered when put into the bucket. By default, the General Ledger Cleansed Data [itfm_gl_data_cleansed] table is selected.
   Advanced bucketing condition	Use the condition builder to create the filter.

   When you create a bucket filter, it appears in the Advanced Conditions tab above the donut chart in the right pane.

   

What to do next

You can verify the filter conditions or make changes:

• Click the name of the condition to open the Advanced Condition form.
• Click the amount to open the list of general ledger expenses that match the filter.

The advanced filter condition icon also appears on the bucket: