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Mastering Data Governance; A Step-by-Step Planning and Implementation Guide

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Mastering Data Governance: A Step-by-Step Planning and Implementation Guide



Course Overview

This comprehensive course provides a step-by-step guide to planning and implementing data governance in your organization. With interactive and engaging content, expert instructors, and real-world applications, you'll gain the knowledge and skills needed to master data governance and drive business success.



Course Features

  • Interactive and engaging content
  • Comprehensive and personalized learning experience
  • Up-to-date and practical information
  • Real-world applications and case studies
  • High-quality content and expert instructors
  • Certificate issued by The Art of Service upon completion
  • Flexible learning and user-friendly interface
  • Mobile-accessible and community-driven
  • Actionable insights and hands-on projects
  • Bite-sized lessons and lifetime access
  • Gamification and progress tracking


Course Outline

Module 1: Introduction to Data Governance

  • Defining data governance and its importance
  • Understanding the benefits of data governance
  • Identifying the key components of data governance
  • Exploring the relationship between data governance and data management

Module 2: Data Governance Frameworks and Models

  • Overview of data governance frameworks and models
  • COBIT framework for data governance
  • DAMA-DMBOK framework for data governance
  • ISO/IEC 38500 framework for data governance
  • Customizing a data governance framework for your organization

Module 3: Data Governance Roles and Responsibilities

  • Defining data governance roles and responsibilities
  • Understanding the role of the data governance council
  • Identifying the responsibilities of the data governance officer
  • Exploring the relationship between data governance and IT

Module 4: Data Governance Policies and Procedures

  • Developing data governance policies and procedures
  • Understanding data classification and categorization
  • Creating data governance standards and guidelines
  • Implementing data governance policies and procedures

Module 5: Data Governance and Data Quality

  • Understanding the relationship between data governance and data quality
  • Defining data quality and its importance
  • Identifying data quality issues and challenges
  • Implementing data quality metrics and monitoring

Module 6: Data Governance and Data Security

  • Understanding the relationship between data governance and data security
  • Defining data security and its importance
  • Identifying data security threats and challenges
  • Implementing data security measures and controls

Module 7: Data Governance and Compliance

  • Understanding the relationship between data governance and compliance
  • Defining compliance and its importance
  • Identifying compliance regulations and standards
  • Implementing compliance measures and controls

Module 8: Data Governance and Data Architecture

  • Understanding the relationship between data governance and data architecture
  • Defining data architecture and its importance
  • Identifying data architecture components and frameworks
  • Implementing data architecture principles and best practices

Module 9: Data Governance and Data Analytics

  • Understanding the relationship between data governance and data analytics
  • Defining data analytics and its importance
  • Identifying data analytics tools and techniques
  • Implementing data analytics principles and best practices

Module 10: Implementing Data Governance

  • Developing a data governance implementation plan
  • Identifying data governance implementation challenges
  • Creating a data governance implementation roadmap
  • Implementing data governance and tracking progress

Module 11: Sustaining Data Governance

  • Understanding the importance of sustaining data governance
  • Identifying data governance sustainability challenges
  • Creating a data governance sustainability plan
  • Implementing data governance sustainability measures

Module 12: Data Governance Case Studies and Best Practices

  • Real-world data governance case studies
  • Data governance best practices and lessons learned
  • Data governance implementation successes and challenges
  • Data governance sustainability successes and challenges


Certificate

Upon completion of the course, participants will receive a certificate issued by The Art of Service.



Target Audience

  • Data governance professionals
  • Data management professionals
  • IT professionals
  • Business professionals
  • Anyone interested in data governance


Prerequisites

There are no prerequisites for this course.



Course Format

This course is delivered online and includes interactive and engaging content, expert instructors, and real-world applications.



Course Duration

This course is self-paced and can be completed in 12 weeks or less.

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