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Add conditional field

Create a new field with the value of the selected field. When the value of that field is empty, the value of the fallback field will be used.

Add field

Add a new field with a fixed value.

Append text value

Allows prepending and appending text to field values

Clean numberfieldClean

Cleans a text field that contains a number. Removes using a specific cleaning option. All cleaning options include white space, commas and periods.
Clean number removes all non-digit characters, including white space and comma's and periodscharacters.
Clean text removes all special characters like dashes and dots.

Copy field

Can be used for when you want one field from the source to map to multiple fields in the destination (for example: address which can be both visit and postal).

Current date time

This transformation can be used to fill a field with the current date and time

Format text value

Formats the value in the field.

Merge fields

Merges the input fields into newly defined output fields.

Remove fields

Prevents the selected fields from appearing in the output.

Rename field

Renames the title of the field and leaves the value unchanged.

Replace

If the field matches the specified value it will be replaced by a new value. For example: if the input value is 'OK' it can be replaced by 'TRUE' and used to turn interests on.

Skip

If the field matches the specified value the record will be skipped

Split field

Splits a field with a separator and adds a new field with the selected segment(s)

You can find a detailed description of this transformation here

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The “Append text value” transformation allows for prepending and appending text to field values.

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Clean

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field

In the example below, we have chosen the transformation 'Clean numberfield' to clean the column with phone numbers. As clean option the Clean Number field is selected.

In the Configure Source page you can see the phone numbers and on the Configure Fields page you can see the result of the transformation, the non-digit characters are removed.

Transform2.pngImage RemovedImage Added

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Copy field

The Address field from the Import file will also be used for the postal address. This can be achieved by choosing the Copy Field transformation.

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