Data Governance Mastery: Essential Best Practices for Management

Data Governance Mastery: Best Practices for Data Management

Unleashing the Power of Data Governance: A Comprehensive Guide

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Last Updated: 2024-07-12 09:07:06 English Course Type: Self Learning

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

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

Basic Understanding of Data Concepts
Know about Data Management

Chief Data Officer
Data Manager
Data Professionals
Data Governance Team
Data Steward
Business and IT Managers
Data Quality Analysts

Section 1 : Introduction 3 Lectures 00:08:35
Lecture 1 :
Introduction to Data Governance Preview
Lecture 2 :
Course Outline and Key Learning Outcomes
Lecture 3 :
Get the Materials
Section 2 : Introduction to Data Governance 3 Lectures 00:28:34
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 1 Lectures 00:12:38
Lecture 1 :
Introduction to Data Governance Framework
Section 4 : Comprehensive Data Governance 9 Lectures 00:58:18
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 7 Lectures 00:38:11
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 8 Lectures 01:00:01
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 3 Lectures 00:28:13
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 4 Lectures 00:20:38
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 4 Lectures 00:23:37
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 4 Lectures 00:27:15
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 1 Lectures 00:05:10
Lecture 1 :
Recap – what have you learned

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Daniel Pham,

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8 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.