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Dataphin:Asset governance

Last Updated:Jun 22, 2026

Asset governance defines processes and standards that keep assets compliant, secure, accurate, consistent, and available throughout their lifecycle.

Purpose

  • Compliance: Ensures adherence to legal regulations, industry standards, and internal policies.

  • Quality control: Ensures assets are accurate, complete, timely, and unique.

  • Risk management: Identifies and mitigates the risks of asset leakage, loss, misuse, or corruption.

  • Standardization: Unifies technical standards for asset naming, classification, and metadata descriptions.

Features

Feature

Description

Data standards

Standardizes data definitions, attributes, and applications for business, technical, and management activities. Define standards based on your company's needs and relevant international, national, industry, and internal requirements.

Data quality

Covers the entire data lifecycle with Quality Rule Configuration, Quality Monitoring, Scheduling Configuration, Smart Alerts, and Verification and Governance.

Data security

Discovers and protects sensitive data throughout its lifecycle. Use data classification, sensitive data discovery, and sensitive data masking to build a security system and ensure compliant data use.

Metadata center

Extracts, processes, centrally stores, and manages metadata from various business systems to support data governance and improve data organization, retrieval, and analysis.