Data governance refers to the overall management of the availability, usability, integrity, and security of data used in an enterprise or organization. It encompasses the people, processes, policies, standards, and technologies that ensure that data is managed effectively throughout its lifecycle.

Here are some key aspects of Data Governance

Data Quality Management

Ensuring that data is accurate, consistent, and reliable by implementing processes and controls to monitor and improve data quality.

Data Security and Privacy

Implementing measures to protect data from unauthorized access, disclosure, alteration, or destruction, and ensuring compliance with relevant regulations such as GDPR or CCPA.

Data Stewardship

Assigning responsibility for the management of specific data assets to individuals or teams within the organization, known as data stewards.

Data Lifecycle Management

Managing data from creation to archival or deletion in a structured and controlled manner, including data storage, retention, and disposal.

Data Governance Framework

Establishing a formal structure of policies, procedures, and guidelines to govern data management practices within the organization.

Data Governance Tools

Implementing software solutions and technologies to support data governance activities such as data cataloging, metadata management, and data lineage tracking.