Administering field data on the ServiceNow AI Platform

  • Release version: Zurich
  • Updated July 31, 2025
  • 1 minute to read
  • 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 policy

      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.

    • Dynamic Schema

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