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Data Governance Roadmap & Quizzes
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Module 1
Data Governance: Strateji Baxış və Əsas Çərçivələr
1
Business Drivers & Value of Data Governance: Ladley & Reichental Scenarios
Articulate the business drivers and value proposition for data governance using scenarios from Ladley and Reichental.
2
Comparing Data Governance Frameworks
Compare the core philosophies of DAMA-DMBOK, John Ladley's programmatic approach, and Robert Seiner's Non-Invasive Data Governance.
3
DAMA Wheel: 11 Knowledge Areas and Interrelationships
Describe the 11 knowledge areas of the DAMA Wheel and explain how they interrelate within a governance program.
Data Governance: Enabling Business Value
Explain how to position data governance as a business-enabling function rather than a restrictive control mechanism.
5
Tailoring Governance to Organizational Culture
Assess which governance philosophy (or hybrid) is most suitable for a given organizational culture (e.g., startup vs. large enterprise).
6
Key Principles of Data Governance
Define the key principles of effective data governance, including accountability, transparency, and stewardship, in the context of the chosen frameworks.
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Data Governance Strukturları və Rolları