---
title: "Trasformare i valori importati nel mapping dei connettori"
description: "Configurate trasformazioni nel mapping per normalizzare i valori importati dai connettori."
url: https://support.signitic.com/it/articles/9561119-trasformare-i-valori-importati-nel-mapping-dei-connettori
collection: "Connettori"
updated: 2026-11-11
language: it
alternates: [fr, en, de, pt]
---

# Trasformare i valori importati nel mapping dei connettori

Configurate trasformazioni nel mapping per normalizzare i valori importati dai connettori.

> **Info:** I trasformatori di mapping permettono di modificare un valore proveniente da un connettore prima di importarlo in Signitic.

## Quando usarli

Usate questa opzione quando i dati della directory sorgente non sono nel formato corretto per le firme, ad esempio per trasformare un reparto in maiuscolo o sostituire un valore con un altro.

La trasformazione si applica solo in Signitic. Non modifica i dati salvati in Google Workspace, Microsoft 365 o in un altro connettore.

## Dove configurare una trasformazione

1\. Aprite **Parametri > Connettori**. 2. Selezionate un connettore che contiene una scheda **Mapping**. 3. Aprite la scheda **Mapping**. 4. Sull'attributo interessato, scegliete **Importa e trasforma il valore**. 5. Cliccate su **Modifica la trasformazione**.

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## Trasformazioni disponibili

Sono disponibili due tipi di trasformazione:

-   **Cambiare maiuscole/minuscole** per mettere il valore in minuscolo o in maiuscolo.
    
-   **Sostituire un valore** per sostituire una stringa precisa con un'altra.
    

Potete concatenare piu trasformazioni sullo stesso valore. Vengono applicate nell'ordine mostrato nella finestra.

## Verificare il risultato

La finestra mostra un esempio di risultato prima della conferma. Usate l'anteprima per verificare che il valore importato sia corretto in Signitic.

## FAQ

La trasformazione si applica a un solo utente?

No. Si applica al mapping del connettore e quindi a tutti gli utenti importati da quel mapping.

Perche non vedo l'opzione di trasformazione?

Verificate che il connettore abbia una scheda **Mapping**.

Perche il mio dato non viene trasformato?

Verificate che la riga sia in modalita **Importa e trasforma il valore** e che la trasformazione sia stata configurata e applicata.