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Data Governance

The overall management of the availability, usability, integrity, and security of data used in an organization, especially relevant for AI and machine learning.

It encompasses the policies, processes, standards, and tools that ensure data is accurate, consistent, and trustworthy, while also aligning with business goals and regulatory requirements.

Key Aspects of Data Governance:

  1. Data Quality – Ensuring data is accurate, complete, and reliable.
  2. Data Security & Privacy – Protecting sensitive information and ensuring compliance with regulations like GDPR, CCPA, HIPAA.
  3. Access Control – Defining who can access, modify, and use data.
  4. Data Lifecycle Management – Managing data from creation to disposal.
  5. Compliance & Risk Management – Ensuring data meets legal, ethical, and industry-specific standards.
  6. Roles & Responsibilities – Establishing Data Stewards, Data Owners, and Governance Committees to oversee policies.

Why is Data Governance Important?

  • Prevents data breaches & security risks
  • Ensures regulatory compliance
  • Improves decision-making & business efficiency
  • Enhances customer trust & transparency

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