Positioning Management and Governance in Data and AI Practices

About Course

This course addresses one of the most common sources of confusion in data and AI initiatives: the meaning of management, governance, and framework.
It clarifies how these concepts differ, how they relate, and why their alignment is essential to organizational coherence.
The course introduces a structured perspective based on business capabilities and the O.R.A.N.G.E. Data Management Framework.
It helps position data management and governance within strategic, tactical, and operational layers.
By establishing conceptual clarity, it creates the foundation for building feasible and scalable data and AI practices.

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.

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.

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.

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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Positioning Management and Governance in Data and AI Practices

About Course

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.

Introduction

Defining common definitions of management, governance, and a framework

Defining common definitions of management, governance, and a framework

Describing data management and governance as business capabilities

Describing Data Management and Governance as Business Capabilities

Determining the goals of a data management framework

Determining the Goals of a Data Management Framework

About Course

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.

Introduction

Defining common definitions of management, governance, and a framework

Defining common definitions of management, governance, and a framework

Describing data management and governance as business capabilities

Describing Data Management and Governance as Business Capabilities

Determining the goals of a data management framework

Determining the Goals of a Data Management Framework

Student Ratings & Reviews

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.