Chapter 2 - Data Governance and Management by Rahim Zulfiqar Ali | CAF-3 (DSR) Data, Systems & Risks

CAF 3 (DSR) Study Notes + MCQs available to Download on Google Drive.
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What is Data Governance?
Data governance = rules, policies, and roles to ensure data is accurate ✅, secure 🔒, compliant 📜, and useful for decision-making 📊. Think of it as treating data like a financial asset 💰.

🏛️ Core Components
Data Quality 🔍 (accuracy, completeness, timeliness, consistency)
Data Ownership & Stewardship 👥 (accountability & management)
Policies & Procedures 📑 (like IFRS/GAAP but for data)
Compliance & Risk ⚖️ (GDPR, HIPAA, local privacy laws)
Metadata & Classification 🗂️

🔒 Data Security & Integrity
Integrity Types: Physical 💾 (hardware safety), Logical 🧩 (rules, referential, entity, domain integrity).
Security Practices: Encryption 🔑, MFA 🔐, Firewalls 🛡️, Zero Trust 🚫🤝, DLP 🛑.
Threats: Ransomware 💻💰, Insider risks 👥, AI-powered attacks 🤖.

📂 Data Stewardship & Metadata
Data stewards ensure data accuracy 📊, resolve issues 🛠️, and train employees 📚.
Metadata management 🗃️ = “data about data” → boosts discoverability, compliance, and collaboration 🤝.

🚀 Drivers for Data Governance
Data-centric business models 📈
Master Data Management 🗂️
Big Data Manageability 📊
Self-Service BI 📉
Compliance & Analytics ⚡

🌟 Best Practices
Secure executive sponsorship 👔
Develop governance roadmap 🗺️
Start with pilot projects 🚀
Adopt global frameworks 📘 (DAMA-DMBOK, COBIT, ISO)
Assign clear roles & responsibilities 👥
Monitor & communicate progress 📊

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📢 DISCLAIMER & REQUEST:
This video is the intellectual property of [Rahim Zulfiqar Ali / Excel Basement]. Unauthorized downloading, re-uploading, or redistribution of this content on any other platform (including YouTube, LinkedIn, Facebook, TikTok, Instagram, or any third-party websites) is strictly prohibited.

🔒 All Rights Reserved