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Data Governance

Data Governance involves the establishment and enforcement of policies, standards, and processes to ensure the quality, integrity, and security of an organization's data. It encompasses data management practices, compliance with regulations, and the responsible use of data throughout its lifecycle.

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Frequently asked questions

What is Data Governance?

Data governance is a set of practices and processes that ensure high data quality, availability, usability, and security within an organization. It involves establishing policies, standards, and procedures to manage and control access to data, monitor data quality, and align data management with business goals and regulations.
Key Components of Data Governance: What are They?

Data governance includes key components such as data policies, data stewardship, data quality management, metadata management, data security, and compliance. These components work together to establish a framework for effective data management and utilization.
Data Stewardship in Data Governance: What is its Role?

Data stewardship involves assigning responsibilities for managing and ensuring the quality of data. Data stewards are individuals or teams responsible for data-related tasks, including data profiling, cleansing, and ensuring adherence to data policies and standards.
Data Quality Management: How Does Data Governance Address It?

Data governance aims to maintain and improve data quality by establishing standards, defining data quality metrics, implementing data profiling, and ensuring that data is accurate, consistent, and aligned with business requirements.
Importance of Data Governance in Compliance: How Does it Ensure Compliance?

Data governance is crucial for ensuring compliance with various regulations, such as GDPR, HIPAA, or industry-specific standards. It involves establishing processes to handle sensitive data, ensuring privacy, and demonstrating accountability for data handling practices, reducing the risk of legal and regulatory violations.

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