Data Governance Mastery: Best Practices for Data Management

TÌM HIỂU THÊM TẠI ĐÂY

GIỚI THIỆU CHUNG

Data Governance Mastery: Best Practices for Data Management

Khai phá sức mạnh của Quản trị Dữ liệu: Hướng dẫn toàn diện từ nền tảng đến chuyên sâu.

Khóa học cung cấp kiến thức toàn diện về quản trị dữ liệu, giúp học viên hiểu rõ vai trò, quy trình và các thực hành tốt nhất trong việc quản lý dữ liệu hiệu quả. Thông qua các tình huống thực tế và nội dung bài bản, học viên sẽ được trang bị nền tảng vững chắc để đảm bảo dữ liệu chất lượng, bảo mật và tuân thủ – góp phần thúc đẩy ra quyết định chính xác và tăng trưởng bền vững cho tổ chức.

TỔNG QUAN KHÓA HỌC

Hình thức học

Trực tuyến

Thời lượng

4 giờ học

Thời gian học

Linh hoạt theo từng cá nhân

Course curriculum

  1. Introduction to Data Governance

  2. Course Outline and Key Learning Outcomes

  1. What Is Data Governance
  2. Why is a Data Governance important
  3. Why Data Governance often falls short of expectations
  4. Introduction to Data Governance Checkpoint

  1. Introduction to Data Governance Framework

  2. Data Governance Framework Checkpoint

  1. Comprehensive Data Governance A Holistic Approach
  2. Comprehensive Data Governance A Holistic Approach – Goals
  3. Comprehensive Data Governance a Holistic Approach – Inputs: Business Driver
  4. Comprehensive Data Governance a Holistic Approach – Inputs: Data Strategy
  5. Comprehensive Data Governance a Holistic Approach – Inputs: Data Maturity Assess
  6. Comprehensive Data Governance a Holistic Approach – Inputs: Organization
  7. Comprehensive Data Governance A Holistic Approach – DG Activities
  8. Comprehensive Data Governance A Holistic Approach – DG Deliverables
  9. Comprehensive Data Governance A Holistic Approach – Participants
  10. Comprehensive Data Governance Checkpoint
    1. Data Governance Operating Model – Operating Model Type
    2. Centralized Data Governance Operating Model Example – DG Council & Members
    3. Centralized Data Governance Operating Model Example – DG Department
    4. Centralized Data Governance Operating Model Example – Data Management Department
    5. Centralized Data Governance Operating Model Example – Data Stewards
    6. Centralized Data Governance Operating Model Example – Data Consumers
    7. Centralized Data Governance Operating Model Example – Data Owners
    8. Data Governance Operating Model Checkpoint
      1. Data Governance Tools and Techniques – Website online Presence
      2. Data Governance Tools and Techniques – Business Glossary
      3. Data Governance Tools and Techniques – Workflow, Docs, Scorecard Management
      4. Data Governance Tools and Techniques – DataHub
      5. Data Governance Tools and Techniques – IBM Governance Catalog (IGC) Components
      6. Data Governance Tools and Techniques – IBM Governance Catalog (IGC) – GUI
      7. Data Governance Tools and Techniques – IBM IGC – Rules, Biz Glossary Everywhere
      8. Data Governance Tools and Techniques – Business Glossary in Detail
      9. Demonstrate IBM Glossary Catalog – Business Glossary & Data Asset Management
      10. Data Governance Tools and Techniques Checkpoint

        Data Governance Mastery: Best Practices for Data Management

        Unleashing the Power of Data Governance: A Comprehensive Guide

        What You’ll Learn

        • Data Governance Foundations: Key principles and importance of Data Governance, Explore Data Governance Frameworks like DAMA, DCAM, CMMI, IBM, Sandford, and Gartner.
        • Data Governance Implementation: Approach to implementing Data Governance goals, activities, and deliverables, Learn to create and manage a Data Governance Operating Model with roles, responsibilities, and structure.
        • Tools and Techniques for Data Governance: Overview of Data Governance tools like business and data glossaries. Hands-on IBM Governance Catalog demo.
        • Data Quality Management: Techniques for understanding, measuring, and implementing Data Quality Management.
        • Governance for Compliance and Security: Regulatory compliance overview, including GDPR and data privacy best practices. Core principles of data security and data protection.
        • Emerging Trends in Data Governance: Future trends, including AI and automation in Data Governance. Understanding Data Governance in cloud environments.
        • Real-World Case Studies: Analysis of real-world data governance cases and practical implementation examples.

        Requirements

        • Basic Data Concepts: Foundational knowledge of data management concepts.

        Course Overview

                This course will guide you through the essentials of Data Governance — from the basics to advanced frameworks, tools, and practices. Learn how effective data governance ensures data quality, security, and compliance with regulatory requirements. Through practical examples and real-world case studies, discover how data governance transforms data management and supports organizational goals.

        Course Outline

        • Unit 1: Introduction to Data Governance – Understand its purpose, significance, and common challenges.
        • Unit 2: Data Governance Frameworks – Explore frameworks like DAMA, DCAM, CMMI, IBM, and more.
        • Unit 3: Data Governance Implementation – Define goals, drivers, and deliverables for effective implementation.
        • Unit 4: Data Governance Operating Models – Develop operating models with clear roles and responsibilities.
        • Unit 5: Data Governance Tools & Techniques – Learn tools like IBM Governance Catalog and business glossaries.
        • Unit 6: Data Quality Management – Implement data quality measures and strategies.
        • Unit 7: Data Governance for Compliance – Cover regulatory compliance essentials, GDPR, and security principles.
        • Unit 8: Future of Data Governance – Embrace emerging practices with AI, automation, and cloud.
        • Unit 9: Case Studies – Real-world applications of data governance.

        Who This Course Is For

        • Chief Data Officers & Data Managers: Strengthen governance capabilities.
        • Data Professionals & Data Governance Teams: Enhance data quality and compliance skills.
        • Business & IT Managers: Gain insights into data governance’s role in data-driven decisions.
        • Data Quality Analysts & Stewards: Learn to implement and manage data governance practices effectively.
        Join Mastering Data Governance and build a comprehensive understanding of best practices for effective data management to advance your career and enhance your organization’s data capabilities.
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