Data Governance AI Terms and Definitions

Ensuring data accuracy and consistency is essential for maintaining a well-organized and compliant Filevine environment. Neodeluxe Data Governance AI offers powerful tools to help firms enforce input standards across their projects.

Keep reading for an overview of key Data Governance terms and their definitions.

Key Terms and Definitions

Acceptable Value

An acceptable value is a value determined by an Admin that is an approved entry for a specific Filevine field. When a field input does not equal an acceptable value, an alert is triggered.

Alert

An alert is a notification or evidence indicating that a rule has been broken.

Criteria

Criteria refers to specific conditions or parameters configured in a rule that the Filevine project must meet. When the criteria for a rule are met, one or more fields in the Filevine project are flagged as required. 

Condition

Conditions are the building blocks for criteria and refer to a specific requirement(s) or logical statement(s) that must be met in a Filevine project for the rule to be triggered.

Rule

A rule is a predefined set of input validations to enforce data consistency, accuracy, and compliance within Filevine. Rules are designed to monitor and manage specific fields or project data, ensuring they meet certain standards set by firm Admins. Additionally, rules can be configured based on user access to control permissions for specific actions in Filevine.

Rule Types

Rule types in Neodeluxe Data Governance AI refer to the different categories of rules that can be set to be applied within projects in Filevine. Each rule type dictates how data is validated within specific fields. Current rule types include:

• Based on Acceptable Values
• Based on Criteria 
• Based on User Access

For more information on rule types, please visit Understanding Data Governance Rules and Alerts.