Data Governance
Subject Title
Short description explaining what the learner will understand after completing this study map.
Data Governance Foundations
Data governance is the framework of people, processes, procedures, policies, and technology used to control data throughout its lifecycle while supporting availability, usability, integrity, quality, security, classification, and compliance.
A strong data governance plan involves the entire organization and is built on transparency, accountability, and standardization.
Essential Governance Terms
Tap each card to review high-value data governance terminology.
Privacy, Classification & Compliance
Review how governance classifies data, protects personal information, and connects organizational practices to laws, regulations, standards, and accessibility requirements.
Governance Roles
The data owner, steward, and custodian have different responsibilities but work together to govern information.
Data Owner
Senior or executive role with ultimate responsibility for data confidentiality, integrity, and availability. The owner may select stewards/custodians and provide budget and resources.
Data Steward & Custodian
Senior or executive role with ultimate responsibility for data confidentiality, integrity, and availability. The owner may select stewards/custodians and provide budget and resources.
The Data Lifecycle
Governance requirements follow data from creation through final destruction.
Access, Security & Processing
Explore the agreements, permissions, processing methods, encryption practices, breach response, and storage requirements analysts must understand.
Privacy Protection Explorer
Compare de-identification methods used to reduce exposure of personal or sensitive information.
Key Takeaways
Review the highest-value data governance distinctions before the knowledge check.
Governance is not only security: it coordinates data quality, lifecycle rules, access, classification, privacy, compliance, and responsibility across the organization.
Pseudonymization is reversible when the separate mapping is available, so the data remains personal data. Anonymization is intended to prevent reassociation with the original individual.
Knowledge Check
Check your understanding of governance roles, lifecycle, privacy, security, permissions, processing, and de-identification.