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Mastering Data Governance; A Step-by-Step Guide to Implementation and Best Practices

$199.00
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What does the Data Governance course cover?

Data Governance is covered here in 15 modules: Introduction to Data Governance: Defining data governance, Data Governance Principles: Developing a data governance strategy, Data Governance Implementation: Developing a plan, Establishing a data governance team and 12 more. The outline lists 60 specific topics, opening with defining data governance and closing with defining data governance internet of things metrics and benchmarks.

How do you approach Data Governance step by step?

The work is sequenced in 15 stages. It starts with Introduction to Data Governance: Defining data governance, moves through Data Governance Principles: Developing a data governance strategy and Data Governance Implementation: Developing a plan, Establishing a data governance team, and ends at data Governance and Internet of Things: Developing a data governance internet of things plan.

What is in Module 1 of the Data Governance course?

Module 1 is Introduction to Data Governance: Defining data governance. It works through defining data governance, understanding the importance of data governance, identifying data governance roles and responsibilities and 1 more. It sets the vocabulary the remaining 14 modules build on.

How is the Data Governance course delivered?

The Data Governance course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Data Governance course cost?

The Data Governance course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Competitive Intelligence, Project Management, Digital Transformation Mastery, Disaster Recovery and Business Continuity Best Practices.

More answers: what you get with every course, refund policy, all help answers.

Mastering Data Governance: A Step-by-Step Guide to Implementation and Best Practices



Certificate Upon Completion

Participants receive a certificate upon completion issued by The Art of Service.



Course Overview

This comprehensive course is designed to provide participants with a thorough understanding of data governance principles, implementation strategies, and best practices. The course is interactive, engaging, and personalized to meet the needs of individuals and organizations.



Course Features

  • Interactive and engaging content
  • Comprehensive and up-to-date materials
  • Practical and real-world applications
  • High-quality content developed by expert instructors
  • Certificate upon completion
  • Flexible learning options
  • User-friendly and mobile-accessible platform
  • Community-driven discussion forums
  • Actionable insights and hands-on projects
  • Bite-sized lessons and lifetime access
  • Gamification and progress tracking features


Course Outline

Module 1. Introduction to Data Governance: Defining data governance

  • Defining data governance
  • Understanding the importance of data governance
  • Identifying data governance roles and responsibilities
  • Developing a data governance framework

Module 2. Data Governance Principles: Developing a data governance strategy

  • Understanding data governance principles
  • Developing a data governance strategy
  • Establishing data governance policies and procedures
  • Defining data governance metrics and benchmarks

Module 3. Data Governance Implementation: Developing a plan, Establishing a data governance team

  • Developing a data governance implementation plan
  • Establishing a data governance team
  • Defining data governance roles and responsibilities
  • Implementing data governance policies and procedures

Module 4. Data Governance Best Practices: Developing a data governance maturity model

  • Understanding data governance best practices
  • Developing a data governance maturity model
  • Establishing data governance standards and guidelines
  • Defining data governance metrics and benchmarks

Module 5. Data Governance and Compliance: Developing a data governance compliance plan

  • Understanding data governance and compliance requirements
  • Developing a data governance compliance plan
  • Establishing data governance compliance policies and procedures
  • Defining data governance compliance metrics and benchmarks

Module 6. Data Governance and Risk Management: Developing a data governance risk management plan

  • Understanding data governance and risk management principles
  • Developing a data governance risk management plan
  • Establishing data governance risk management policies and procedures
  • Defining data governance risk management metrics and benchmarks

Module 7. Data Governance and Data Quality: Developing a data governance data quality plan

  • Understanding data governance and data quality principles
  • Developing a data governance data quality plan
  • Establishing data governance data quality policies and procedures
  • Defining data governance data quality metrics and benchmarks

Module 8. Data Governance and Data Security: Developing a data governance data security plan

  • Understanding data governance and data security principles
  • Developing a data governance data security plan
  • Establishing data governance data security policies and procedures
  • Defining data governance data security metrics and benchmarks

Module 9. Data Governance and Data Architecture: Developing a data governance data architecture plan

  • Understanding data governance and data architecture principles
  • Developing a data governance data architecture plan
  • Establishing data governance data architecture policies and procedures
  • Defining data governance data architecture metrics and benchmarks

Module 10. Data Governance and Data Analytics: Developing a data governance data analytics plan

  • Understanding data governance and data analytics principles
  • Developing a data governance data analytics plan
  • Establishing data governance data analytics policies and procedures
  • Defining data governance data analytics metrics and benchmarks

Module 11: Data Governance and Business Intelligence

  • Understanding data governance and business intelligence principles
  • Developing a data governance business intelligence plan
  • Establishing data governance business intelligence policies and procedures
  • Defining data governance business intelligence metrics and benchmarks

Module 12. Data Governance and Big Data: Developing a data governance big data plan

  • Understanding data governance and big data principles
  • Developing a data governance big data plan
  • Establishing data governance big data policies and procedures
  • Defining data governance big data metrics and benchmarks

Module 13. Data Governance and Cloud Computing: Developing a data governance cloud computing plan

  • Understanding data governance and cloud computing principles
  • Developing a data governance cloud computing plan
  • Establishing data governance cloud computing policies and procedures
  • Defining data governance cloud computing metrics and benchmarks

Module 14: Data Governance and Artificial Intelligence

  • Understanding data governance and artificial intelligence principles
  • Developing a data governance artificial intelligence plan
  • Establishing data governance artificial intelligence policies and procedures
  • Defining data governance artificial intelligence metrics and benchmarks

Module 15. Data Governance and Internet of Things: Developing a data governance internet of things plan

  • Understanding data governance and internet of things principles
  • Developing a data governance internet of things plan
  • Establishing data governance internet of things policies and procedures
  • Defining data governance internet of things metrics and benchmarks


Certificate Requirements

Participants must complete all course modules and pass a final exam to receive a certificate.



Course Format

The course is delivered online and includes interactive lessons, quizzes, and hands-on projects.



Course Duration

The course is self-paced and can be completed in 6-12 months.



Target Audience

The course is designed for data governance professionals, IT professionals, and business leaders who want to improve their data governance skills and knowledge.

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