Implement Appropriate Governance Components - Security Program Documentation - Data Governance in Staging Enviroments

15 important questions on Implement Appropriate Governance Components - Security Program Documentation - Data Governance in Staging Enviroments

What does data governance encompass?

The processes, policies, standards, and technologies employed to manage and protect data effectively.

What is the central aim of data governance?

To ensure that data is accurate, accessible, consistent, and protected in accordance with organizational policies and applicable regulatory requirements.

What role do data governance practices play?

They maintain data accuracy, security, compliance, and life cycle management.
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How do data governance practices ensure data is used?

In compliance with laws and regulations.

What environments do organizations commonly operate?

Multiple environments, such as production, development, testing, and QA.

What should development and testing environments be populated with?

Test data that mimics real production data minus any sensitive information.

What do QA environments parallel?

Production environments and should closely match production configurations.

Why is effective data governance important in test environments?

To ensure that any data used here is handled in accordance with policy and legal requirements.

What is data life cycle management (DLM)?

A key component of data governance. It describes data handling from creation to (eventual) deletion.

How does DLM support data governance?

By ensuring data quality and compliance over its lifetime.

What does data governance provide for organizational management?

A robust framework that ensures the proper handling, security, and use of data.

What is the central aim of data governance?

To ensure that data is accurate, accessible, consistent, and protected.

What role do data governance practices play?

They maintain data accuracy, security, compliance, and life cycle management.

What environments do organizations commonly operate?

Multiple environments such as production, development, testing, and QA.

What does data life cycle management (DLM) describe?

Data handling from creation to deletion and supports data governance goals.

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