In this chapter, you'll learn what data governance is, why it is important, and how data governance can benefit any organization.

What is data governance?

Data Governance Pillars

Data governance pillars

Options

Quality, Protection, and Use

Data Management and Ownership

Minimum requirements for data

True

False

The need for data governance

Why does data governance matter?

How well do you know regulations?

Why do regulations drive governance?

What else drives data governance?

Benefits of data governance

What are the benefits of data governance?

Help Milly convince the board

What is Data Governance, and Why is it Important?

A data governance framework provides a blueprint for people, technology, and processes should operate to ensure successful data governance. Learn about data governance types, components, principles, and benefits in this chapter, as well as the importance of data management maturity.

What is a data governance framework?

Framework component review

How well do you know frameworks?

Data literacy review

Types of data governance frameworks

Top-down or bottom-up?

ABC Bank needs your help

Principles of a data governance framework

Principles review

Matching principles and benefits

Data management maturity

Evaluating data management maturity

Data management maturity facts

Help Milly develop a framework

Governance Frameworks, Principles, and Maturity

A successful data governance program requires collaboration from several different types of roles in an organization. Learn about data governance roles and responsibilities, data governance committees, and different types of operating models.

Business line and technology data roles

Business line and technology role review

Data roles through the lifecycle

Roles in the data governance office

Help Milly hire a CDO

Data employees can wear multiple hats

Let's build a team!

Data governance sponsorship and committees

The role of the data governance committee

Data governance operating models

Business autonomy

Decentralized or centralized?

The federated governance operating model

Adapting to organizational changes

Governance Roles, Committees, and Operating Models

Learn how to implement your own data governance program, from conducting maturity assessments to developing strategies and roadmaps and choosing a technical solution that fits your organization's needs.

Assess the current state

The five assessment steps

Tips for capability assessments

Creating a data governance strategy

Data governance strategy components

Reviewing a data governance strategy

Guiding principles

Enabling data governance with technology

Types of technical solutions

Help ABC Bank pick a solution

Developing a roadmap

Engaging others on the journey

Let's make a roadmap!

Help Chase refresh his strategy

Congratulations!

Implementing your Data Governance Program

This course provides an introduction to data governance, focused on key foundational elements, such as what data governance is, why it is important, who needs to be involved, and how to implement a data governance program.<br><br> You’ll discover that data governance isn’t just a “check-the-box” exercise but a pivotal method to improve the trust, accuracy, and reliability of your data to mitigate risk and generate tangible business value.<br><br> You’ll gain an understanding of types of data governance frameworks, including components and key principles, and the importance of data management maturity. You’ll also learn about data governance roles and responsibilities and how to determine the right operating model to fit organizational needs.<br><br> Lastly, you’ll learn how to implement your own data governance program, including developing a strategy and roadmap and choosing a technical solution. This course is a suitable option for anyone that wants to understand more about data governance – no prior experience is required.

<h2>Gain an Introduction to Data Governance</h2> This course provides an introduction to data governance, focused on key foundational elements, such as what data governance is, why it is important, who needs to be involved, and how to implement a data governance program.<br><br>You’ll discover that data governance isn’t just a “check-the-box” exercise but a pivotal method to improve the trust, accuracy, and reliability of your data to mitigate risk and generate tangible business value.<br><br><h2>Discover Data Governance Frameworks</h2> You’ll gain an understanding of types of data governance frameworks, including components and key principles, and the importance of data management maturity. You’ll also learn about data governance roles and responsibilities and how to determine the right operating model to fit organizational needs.<br><br><h2>Implement Data Governance Best Practices</h2> Lastly, you’ll learn how to implement your own data governance program, including developing a strategy and roadmap and choosing a technical solution. This course is a suitable option for anyone that wants to understand more about data governance – no prior experience is required.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

Data Governance Concepts | Implement A Data Governance Framework - DataCamp

Data Governance Concepts

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Master data management helps drive consistency in reporting by creating golden records.

An example of reference data management would be mapping country codes across different systems into a uniform code.

An example of metadata would be documentation on how data moves from origination to consumption.

Data destruction policies should only be leveraged when a company is low on data storage.

Collecting data lineage is an example of master data management.

Data retention means defining data and making it easier to find.

What else drives data governance?

Data Governance Concepts

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