---
title: Administering field data on the ServiceNow AI Platform
description: Use normalization, data policies, data lookup, and dynamic schema to maintain the integrity of your data on the ServiceNow AI Platform.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/australia/platform-administration/administering-fields-now-platform.html
release: australia
topic_type: concept
last_updated: "2026-03-12"
reading_time_minutes: 1
breadcrumb: [Field administration, Forms, fields, and lists, Configure core features, Administer the ServiceNow AI Platform]
---

# Administering field data on the ServiceNow AI Platform

Use normalization, data policies, data lookup, and dynamic schema to maintain the integrity of your data on the ServiceNow AI Platform.

## Administration overview

-   [Field normalization and transformation](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/platform-administration/c_FieldNormalization.md)

    Field Normalization includes normalization and transformation, which are two different ways to alter field values for increased data integrity and reduced duplication.

-   [Data policy](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/platform-administration/c_DataPolicy.md)

    Data policies enable you to enforce data consistency by setting mandatory and read-only states for fields.

-   [Data lookup and record matching support](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/platform-administration/c_DataLookRecMatchSupport.md)

    The data lookup and record matching feature enables administrators to define rules that automatically set one or more field values when certain conditions are met.

-   [Dynamic Schema](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/platform-administration/dynamic-schema.md)

    Define a hierarchy of categories, groups, and attributes and enable users to select groups of attributes on a record.