What is Data Governance?
The systems and processes used to ensure proper management, quality, privacy, and security of data across and organization.
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Define Roles and responsibilities
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Maintain transparency about collection, usage, sharing, and retention
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Obtain Consent for usage when necessary
Accountability and Transparency
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Data must be accurate, complete, consistent, timely, and relevant which requires defining standards, completing data validation, and regular audits
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Integrity means data is unaltered and trustworthy which requires protecting against unauthorized changes and ensuring accuracy over time
Data Quality and Integrity
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Protect from unauthorized access and misuse which requires adequate security measures, privacy policies, encryption, and ensuring compliance with relevant regulations (depends on industry and region)
Security, Privacy, and Compliance
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Ensuring that designated teams or individuals are safeguarding data throughout its lifecycle.
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Data lifecycle encompasses creation/acquisition, storage, and disposal
Stewardship and Lifecycle Management
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Balance security and accessibility
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Authorized users should have access to data when they need it to make decisions and complete tasks effectively
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Establish consistent definitions, formats, and rules
Data Accessibility and Standardization
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Ensure data is used ethically and responsibly
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Avoid misuse, bias, discrimination and ensure data is used to improve outcomes in a fair and just manner