---
title: "Transformar valores importados no mapping dos conectores"
description: "Configure transformacoes no mapping para normalizar valores importados dos conectores."
url: https://support.signitic.com/pt/articles/9561119-transformar-valores-importados-no-mapping-dos-conectores
collection: "Conectores"
updated: 2026-11-11
language: pt
alternates: [fr, en, de, it]
---

# Transformar valores importados no mapping dos conectores

Configure transformacoes no mapping para normalizar valores importados dos conectores.

> **Info:** Os transformadores de mapping permitem alterar um valor vindo de um conector antes de o importar para o Signitic.

## Quando utilizar

Utilize esta opcao quando os dados do diretorio de origem nao estao no formato certo para as assinaturas, por exemplo para colocar um departamento em maiusculas ou substituir um valor por outro.

A transformacao aplica-se apenas no Signitic. Nao altera os dados guardados no Google Workspace, Microsoft 365 ou noutro conector.

## Onde configurar uma transformacao

1\. Abra **Parametros > Conectores**. 2. Selecione um conector que tenha uma aba **Mapping**. 3. Abra a aba **Mapping**. 4. No atributo pretendido, escolha **Importar e transformar o valor**. 5. Clique em **Editar a transformacao**.

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## Transformacoes disponiveis

Estao disponiveis dois tipos de transformacao:

-   **Alterar maiusculas/minusculas** para colocar o valor em minusculas ou maiusculas.
    
-   **Substituir um valor** para substituir uma cadeia especifica por outra.
    

Pode encadear varias transformacoes no mesmo valor. Elas sao aplicadas pela ordem apresentada na janela.

## Verificar o resultado

A janela mostra um exemplo de resultado antes da validacao. Utilize esta pre-visualizacao para confirmar que o valor importado ficara correto no Signitic.

## FAQ

A transformacao aplica-se apenas a um utilizador?

Nao. Aplica-se ao mapping do conector e, portanto, a todos os utilizadores importados por esse mapping.

Porque nao vejo a opcao de transformacao?

Verifique se o conector tem uma aba **Mapping**.

Porque e que o meu dado nao foi transformado?

Verifique se a linha esta em **Importar e transformar o valor** e se a transformacao foi configurada e aplicada.