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$29
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
Course Overview
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, Gartner
Unit 3: Comprehensive Data Governance
•Data Governance Implementation Approach
•Data Governance Goals, Business Drivers, Activities, Deliverables
Unit 4: Data Governance Operating Model
•Data Governance Operating Model Type
•Centralized Data Governance Operating Model: Real Example
•Structure
•Roles & Responsibilities
•Rights & Duties
Of Data Committee and Members
Unit 5: Data Governance Tools and Techniques
•Data Governance Tools
•Business & Data Glossary Catalog
•Demo – Business Glossary with IBM Governance Catalog
Unit 6: Data Quality Management
•Understanding Data Quality
•Measuring Data Quality
•Data Quality Implementation Approach
Unit 7: Data Governance Implementation
•Data Governance Implementation Guidelines
•Data Governance Metrics
•Data Governance Roadmap
•Data Governance Change Management
Unit 8: Data Governance and Compliance
•Data Governance and Regulatory Compliance
•GDPR and Data Governance
•Data Privacy Best Practices
•Data Security Core Principles
Unit 9: Future Trends in Data Governance
•Evolving Data Governance Practices
•The Role of AI and Automation
•Data Governance in a Cloud Environment
Pre-requisites
- Basic Understanding of Data Concepts
- Know about Data Management
Target Audience
- Chief Data Officer
- Data Manager
- Data Professionals
- Data Governance Team
- Data Steward
- Business and IT Managers
- Data Quality Analysts
Curriculum 47 Lectures
-
Section 1 : Introduction
- Lecture 2 :
- Course Outline and Key Learning Outcomes
- Lecture 3 :
- Get the Materials
-
Section 2 : Introduction to Data Governance
- Lecture 1 :
- What Is Data Governance
- Lecture 2 :
- Why is a Data Governance important?
- Lecture 3 :
- Why Data Governance often falls short of expectations
-
Section 3 : Introduction to Data Governance Framework
- Lecture 1 :
- Introduction to Data Governance Framework
-
Section 4 : Comprehensive Data Governance
- Lecture 1 :
- Comprehensive Data Governance A Holistic Approach
- Lecture 2 :
- Comprehensive Data Governance A Holistic Approach - Goals
- Lecture 3 :
- Comprehensive Data Governance A Holistic Approach - Inputs - Business Driver
- Lecture 4 :
- Comprehensive Data Governance A Holistic Approach - Inputs -Data Mngt &Strategy
- Lecture 5 :
- Comprehensive Data Governance A Holistic Approach - Inputs -Data Maturity Assess
- Lecture 6 :
- Comp. DG A Holistic Approach - Inputs -Org Policies & Standards_Business Culture
- Lecture 7 :
- Comprehensive Data Governance A Holistic Approach - DG Activities
- Lecture 8 :
- Comprehensive Data Governance A Holistic Approach - DG Deliverables
- Lecture 9 :
- Comprehensive Data Governance A Holistic Approach - Participants
-
Section 5 : Data Governance Operating Model
- Lecture 1 :
- Data Governance Operating Model - Operating Model Type
- Lecture 2 :
- Centralized Data Governance Operating Model-Role & Resp. of DG Council & Members
- Lecture 3 :
- Centralized Data Governance Operating Model - Role & Respon of DG Dept.
- Lecture 4 :
- Centralized Data Governance Operating Model - Role & Respon of DM Dept.
- Lecture 5 :
- Centralized Data Governance Operating Model - Role & Respon of Data Steward
- Lecture 6 :
- Centralized Data Governance Operating Model - Role & Respon of Data Consumer
- Lecture 7 :
- Centralized Data Governance Operating Model - Role & Respon of Data Owner
-
Section 6 : Data Governance Tools and Techniques
- Lecture 1 :
- Data Governance Tools and Techniques - Website online Presence
- Lecture 2 :
- Data Governance Tools and Techniques - Business Glossary
- Lecture 3 :
- Data Governance Tools and Techniques - Workflow_Document_Scorecard Management
- Lecture 4 :
- Data Governance Tools and Techniques - DataHub
- Lecture 5 :
- Data Governance Tools and Techniques - IBM IGC - Components
- Lecture 6 :
- Data Governance Tools and Techniques - IBM IGC - GUI
- Lecture 7 :
- DG Tools and Technique - IBM IGC - Governed Rules - Business Glossary Everywhere
- Lecture 8 :
- Data Governance Tools and Techniques -Business Glossary
-
Section 7 : Data Quality Management
- Lecture 1 :
- Data Governance Tools and Techniques -Data Quality
- Lecture 2 :
- Data Governance Tools and Techniques -IBM QualityStage
- Lecture 3 :
- Data Governance Tools and Techniques -Describe and Handle Data Quality
-
Section 8 : Data Governance Implementation
- Lecture 1 :
- Data Governance Implementation- & Guideline
- Lecture 2 :
- Data Governance Implementation- & Metrics
- Lecture 3 :
- Data Governance Implementation- & Roadmap
- Lecture 4 :
- Data Governance Implementation- & Change Management
-
Section 9 : Data Governance and Compliance
- Lecture 1 :
- Data Governance and Compliance
- Lecture 2 :
- Data Governance and Compliance -GDPR
- Lecture 3 :
- Data Governance and Compliance -Data Privacy Best Practices
- Lecture 4 :
- Data Governance and Compliance -Data Security
-
Section 10 : Future Trends in Data Governance
- Lecture 1 :
- Future trends in data governance
- Lecture 2 :
- Evolving Data Governance Practices
- Lecture 3 :
- The Role of AI and Automation
- Lecture 4 :
- Data Governance in a Cloud Environment
-
Section 11 : Summary session
- Lecture 1 :
- Recap – what have you learned
Our learners work at
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Instructor
2186 Course Views
5 Courses
I am an experienced and accomplished author with a deep passion for data strategy and management. With over 15 years of hands-on experience in the IT industry, I have gained extensive knowledge and expertise in various domains, including banking, insurance, retail, and more.
Throughout my career, I have held several senior positions such as:
- Data Division Director of an insurance company
- Deputy Data Governance & Analytics of the Group (Real Estate, Retail, Hospitality, Commerce, ...)
- Deputy Chief Data Officer cum Senior IT Strategy Expert
- Head of Data & Analytics Service
- Project Director/ Project Manager
- Enterprise & Solution Architect of bank
That have allowed me to make significant contributions to the field. And right now, as a director of Data Division, I played a pivotal role in shaping data initiatives and driving the effective use of data within organizations. Additionally, as a Data Governance & Analytics expert, I focused on establishing robust data governance frameworks and harnessing the power of analytics to drive actionable insights.
With my diverse background and extensive industry experience, I have developed a strong understanding of the challenges and opportunities in the data management landscape. Through my work as an author, I am dedicated to sharing my knowledge, insights, and practical strategies with students like you.
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