Data ValidationSTD_2008v1

Mandatory Field Completeness

Ensures all fields marked as required/mandatory contain valid non-null values.

Owner: Unassigned

Updated: 10/31/2025

Business Rule

Critical business processes depend on complete core data fields. Missing values cause process failures.

Technical Implementation

Database NOT NULL constraints on required fields. UI validation preventing form submission with empty required fields.

Examples

Good practices vs common violations

Good Examples

Customer Name: 'Acme Corp'

Order Date: '2024-03-15'

Product ID: '12345'

Poor Examples (Violations)

Customer Name: NULL

Order Date: ''

Product ID: NULL

Additional Information

Target Industries

All

Status

active

Local Network

DQ Improvements

Data quality dimensions improved by this standard

Completeness (Data values)

high

The degree to which all required data values are present.

Type: prevents

Completeness (Data values of an attribute)

high

The degree to which all required data values of an attribute are present.

Type: prevents

Validity

high

The degree to which data values comply with rules.

Type: prevents

Quick Stats

Related KPIs0

DQ Improvements3

Versionv1

API Access

GET /api/standards/mandatory-field-completeness