Asset governance

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Asset governance establishes processes and standards to ensure your assets are legitimate, secure, accurate, consistent, and available, helping you manage them effectively throughout their lifecycle.

Purpose

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

  • Quality control: Maintains the accuracy, completeness, timeliness, and uniqueness of your assets.

  • Risk management: Identifies and mitigates risks such as asset leakage, loss, misuse, and corruption.

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

Features

Feature

Description

Data standards

This feature supports your business, technical, and management requirements by standardizing data definitions. The process involves defining and applying standards for data and its attributes. These data standards must align with your business needs and should be based on international, national, regulatory, and industry standards, as well as your internal policies.

Data quality

Provides a complete data quality solution throughout the data lifecycle. Key features include quality rule configuration, quality monitoring, job scheduling, intelligent alerting, and data validation and remediation.

Data security

Provides unified capabilities to identify and protect sensitive data throughout its lifecycle. It helps you build a robust data security framework with features like data classification and categorization, sensitive data identification, and sensitive data masking. This ensures secure and compliant data usage.

Resource governance

Helps you analyze your data consumption, providing a holistic view of your computing and storage costs. This lets you control expenses and improve resource efficiency.

Metadata center

Acts as a centralized repository to extract, process, and manage metadata from your business systems. This supports data governance and enhances your ability to organize, retrieve, and analyze data.