Best Practices for Effective Data Management
What you'll learn
Understanding Data Governance
Data Governance Frameworks
Data Governance Implementation Approach
Data Governance Operating Model
Data Governance Tools and Techniques
Data Quality Management
Data Governance Implementation
Data Governance and Compliance
Future Trends in Data Governance
Case Studies and Real-World Data Governance Examples
Requirements
Basic Understanding of Data Concepts
Know about Data Management
Description
The "Mastering Data Governance: Best Practices for Effective Data Management" course is designed to equip learners with the knowledge and skills required to implement and manage effective data governance practices within an organization. Data governance is a critical component of modern data management, ensuring data quality, security, and compliance with regulatory requirements. This course covers a wide range of topics, from the fundamentals of data governance to advanced practices and emerging trends.Course Outline:Unit 1: Introduction to Data Governance•What Is Data Governance?•Why Is Data Governance Important?•Why Data Governance often falls short of expectations?Unit 2: Introduction to Data Governance Framework•The Data Governance Framework: DAMA, DCAM, CMMI, IBM, Sandford, GartnerUnit 3: Comprehensive Data Governance•Data Governance Implementation Approach•Data Governance Goals, Business Drivers, Activities, DeliverablesUnit 4: Data Governance Operating Model•Data Governance Operating Model Type•Centralized Data Governance Operating Model: Real Example•Structure•Roles & Responsibilities•Rights & DutiesOf Data Committee and MembersUnit 5: Data Governance Tools and Techniques•Data Governance Tools•Business & Data Glossary Catalog•Demo – Business Glossary with IBM Governance CatalogUnit 6: Data Quality Management•Understanding Data Quality•Measuring Data Quality•Data Quality Implementation ApproachUnit 7: Data Governance Implementation•Data Governance Implementation Guidelines•Data Governance Metrics•Data Governance Roadmap•Data Governance Change ManagementUnit 8: Data Governance and Compliance•Data Governance and Regulatory Compliance•GDPR and Data Governance•Data Privacy Best Practices•Data Security Core PrinciplesUnit 9: Future Trends in Data Governance•Evolving Data Governance Practices•The Role of AI and Automation•Data Governance in a Cloud Environment
Overview
Section 1: Introduction
Lecture 1 Introduction to Data Governance
Lecture 2 Course Outline and Key Learning Outcomes
Lecture 3 Get the Materials
Section 2: Introduction to Data Governance
Lecture 4 What Is Data Governance
Lecture 5 Why is a Data Governance important
Lecture 6 Why Data Governance often falls short of expectations
Section 3: Introduction to Data Governance Framework
Lecture 7 Introduction to Data Governance Framework
Section 4: Comprehensive Data Governance
Lecture 8 Comprehensive Data Governance A Holistic Approach
Lecture 9 Comprehensive Data Governance A Holistic Approach - Goals
Lecture 10 Comprehensive Data Governance a Holistic Approach - Inputs: Business Driver
Lecture 11 Comprehensive Data Governance a Holistic Approach - Inputs: Data Strategy
Lecture 12 Comprehensive Data Governance a Holistic Approach - Inputs: Data Maturity Assess
Lecture 13 Comprehensive Data Governance a Holistic Approach - Inputs: Organization
Lecture 14 Comprehensive Data Governance A Holistic Approach - DG Activities
Lecture 15 Comprehensive Data Governance A Holistic Approach - DG Deliverables
Lecture 16 Comprehensive Data Governance A Holistic Approach - Participants
Section 5: Data Governance Operating Model
Lecture 17 Data Governance Operating Model - Operating Model Type
Lecture 18 Centralized Data Governance Operating Model Example - DG Council & Members
Lecture 19 Centralized Data Governance Operating Model Example - DG Department
Lecture 20 Centralized Data Governance Operating Model Example - Data Management Department
Lecture 21 Centralized Data Governance Operating Model Example - Data Stewards
Lecture 22 Centralized Data Governance Operating Model Example - Data Consumers
Lecture 23 Centralized Data Governance Operating Model Example - Data Owners
Section 6: Data Governance Tools and Techniques
Lecture 24 Data Governance Tools and Techniques - Website online Presence
Lecture 25 Data Governance Tools and Techniques - Business Glossary
Lecture 26 Data Governance Tools and Techniques - Workflow, Docs, Scorecard Management
Lecture 27 Data Governance Tools and Techniques - DataHub
Lecture 28 Data Governance Tools and Techniques - IBM Governance Catalog (IGC) Components
Lecture 29 Data Governance Tools and Techniques - IBM Governance Catalog (IGC) - GUI
Lecture 30 Data Governance Tools and Techniques - IBM IGC - Rules, Biz Glossary Everywhere
Lecture 31 Data Governance Tools and Techniques - Business Glossary in Detail
Lecture 32 Demonstrate IBM Glossary Catalog - Business Glossary & Data Asset Management
Section 7: Data Quality Management
Lecture 33 Data Governance Tools and Techniques -Data Quality Management
Lecture 34 Data Governance Tools and Techniques - IBM Quality Stage
Lecture 35 Data Governance Tools and Techniques -Describe and Handle Data Quality
Section 8: Data Governance Implementation
Lecture 36 Data Governance Implementation - & Guideline
Lecture 37 Data Governance Implementation- & Metrics
Lecture 38 Data Governance Implementation- & Roadmap
Lecture 39 Data Governance Implementation- & Change Management
Section 9: Data Governance and Compliance
Lecture 40 Data Governance and Compliance
Lecture 41 Data Governance and Compliance -GDPR & Data Governance
Lecture 42 Data Governance and Compliance -Data Privacy Best Practices
Lecture 43 Data Governance and Compliance -Data Security
Section 10: Future Trends in Data Governance
Lecture 44 Future trends in data governance
Lecture 45 Evolving Data Governance Practices
Lecture 46 The Role of AI and Automation
Lecture 47 Data Governance in a Cloud Environment
Section 11: Summary
Lecture 48 Summary Session
Chief Data Officer,Data Manager,Data Professionals,Data Governance Team,Data Steward,Business and IT Managers,Data Quality Analysts
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