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
Field Normalization includes normalization and transformation, which are two different ways to alter field values for increased data integrity and reduced duplication.
-
Data policies enable you to enforce data consistency by setting mandatory and read-only states for fields.
-
Data lookup and record matching support
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.
-
Define a hierarchy of categories, groups, and attributes and enable users to select groups of attributes on a record.
---
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: "2026-09-10"
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.
| 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 | 2026-09-10 |
| reading_time_minutes | 1 |
| breadcrumb | Field administrationFormsfieldsand listsConfigure core featuresAdminister the ServiceNow AI Platform |