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Introduction to Data Governance

What is Data Governance?

Core Components of a Data Governance Framework

Policies and Standards in Data Governance

Defining Data Policies

Establishing Data Standards

Roles, Responsibilities, and Accountability

Key Roles in Data Governance

Creating an Accountability Structure

The Data Stewardship Model

Introduction to Data Stewardship

Quizzes

Quiz - Data Governance Fundamentals

Quiz - Frameworks and Policies

Quiz - Data Governance Roles

Quiz - The Data Stewardship Model

Quiz - Accountability and Practical Application

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In today's data-driven business landscape, information is one of your organization's most valuable assets. However, without a structured approach to managing this information, companies face significant risks, including poor data quality, compliance violations, and operational inefficiencies.

In today's data-driven business landscape, information is one of your organization's most valuable assets. However, without a structured approach to managing this information, companies face significant risks, including poor data quality, compliance violations, and operational inefficiencies. Welcome to "Data Governance Frameworks: Roles, Responsibilities, and Data Stewardship," a comprehensive course designed to help you master the foundational elements of effective data management.

This course demystifies the complex world of data governance, providing you with the practical knowledge needed to implement robust frameworks that align with your organizational goals. You will explore the core components of data governance, learning how to establish clear data policies and actionable data standards that ensure consistency and compliance across all departments.

Beyond the policies, successful data governance relies heavily on people. We will dive deep into the critical roles within a governance structure, including Data Owners, Data Custodians, and Data Users. You will learn how to build a transparent accountability structure using tools like the RACI matrix to eliminate overlap and ensure no data responsibilities fall through the cracks. Finally, the course thoroughly examines the Data Stewardship model, teaching you how Data Stewards act as the essential bridge between IT and business units. By the end of this course, you will be equipped with the strategies and insights required to champion data governance initiatives, protect your organization's data assets, and drive a culture of data accountability.

Data Governance Frameworks: Roles, Responsibilities, and Data Stewardship

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            <p>In the modern digital landscape, data is one of the most critical assets an organization possesses. However, without a formalized structure to manage, protect, and utilize this information, organizations often face significant operational and compliance challenges. This course provides a comprehensive exploration of data governance frameworks, detailing the foundational elements required to align data strategies with overarching business objectives. Learners will examine the critical distinction between general data management and specific governance activities, while also exploring how high-level data policies are translated into actionable, consistent data standards that ensure data quality and regulatory compliance across the enterprise.</p>

<p>Beyond the establishment of policies and standards, the success of any data governance initiative relies heavily on a clearly defined accountability structure. Throughout this course, participants will analyze the primary roles within a governance framework, including Data Owners, Data Custodians, and Data Users, and learn how to implement tools such as the RACI matrix to prevent operational overlap. Furthermore, the curriculum delves deeply into the Data Stewardship model, highlighting how Data Stewards function as the essential bridge between IT departments and business users. By applying these foundational principles to practical business scenarios, learners will be equipped to overcome common implementation obstacles and foster a robust, compliant, and highly efficient data-driven culture within their organizations.</p>
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