Course Content
Introduction
This introduction clarifies the course's goals and expected outcomes and explains why aligning terminology and definitions is essential to building a coherent data management framework.
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Introduction
Topic 1. Defining common definitions of management, governance, and a framework
This part of the course revisits the core definitions of management, governance, and a framework from a structured and business-oriented perspective. It clarifies how these concepts are commonly interpreted and where misunderstandings typically arise. By returning to foundational meanings, it establishes a shared terminology that supports consistent communication across organizational levels. This clarity serves as a basis for aligning data management and governance practices in a coherent framework.
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Defining common definitions of management, governance, and a framework
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Defining common definitions of management, governance, and a framework
Topic 2. Describing Data Management and Governance as Business Capabilities
This topic explains how data management and data governance can be described as business capabilities rather than only as sets of activities or responsibilities. It shows how this perspective helps structure their purpose, outcomes, and relationships within a broader organizational framework.
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Describing data management and governance as business capabilities
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Describing Data Management and Governance as Business Capabilities
Topic 3. Determining the goals of a data management framework
This topic explains how to determine the goals of a data management framework and how these goals relate to the development of a data management function. It shows how a framework helps translate business drivers into structured activities that guide the design, implementation, and evolution of data management capabilities.
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Determining the goals of a data management framework
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Determining the Goals of a Data Management Framework
Positioning Management and Governance in Data and AI Practices

Data management and governance are often discussed as if everyone shares the same understanding of these concepts. In reality, their meaning and roles vary across organizations and industry frameworks. This course clarifies these concepts and explains how aligning their definitions helps organizations build a coherent data management framework.

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