Mastering Data Governance

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