This video clarifies the goal, expected outcomes, and practical advantages of aligning data terminology as a foundation for building a structured data management practice.
Introduction
In this introduction, we clarify the course's purpose and position it within the ABC Data Management series at Data Crossroads Academy. We explain why shared business terminology is essential to building a meaningful, well-scoped data management practice grounded in the O.R.A.N.G.E. Data Management Framework. Through a short real-world story, we highlight how misunderstandings of core business concepts can block progress—and how this course helps align business structure with data management practice.
0/1
Defining organization-related concepts
In this section, we delve deeper into the business's structural layers and clarify how legal entities, internal structures, and ownership models relate to one another. We explore how companies, business units, organizational levels, and enterprises differ—and why these distinctions matter when designing governance and data management practices. By understanding how organizations are structured, classified, and interconnected, you begin to see how governance must be tailored to fit the real operating context rather than an abstract model.
0/4
Defining and operationalizing business capabilities
In this section, we move from understanding organizational structure to examining what the business is actually capable of doing. We introduce the concept of business capability, clarify its meaning, and explore how it is structured, named, and organized within a capability model. From there, we map capabilities to business functions and, using the O.R.A.N.G.E. Data Management Framework, show how a capability is operationalized into measurable outcomes, structured processes, and enabling components that bring it to life in practice.
0/5
Taking practical steps
This concluding section brings the course together by reconnecting organizational structure, business capabilities, and governance design into one coherent picture. It shows how translating a business blueprint into capabilities, decision layers, roles, and data assets aligns strategy and execution. The section reinforces that sustainable data and AI practices emerge only when they are deliberately anchored in how the business actually creates value.
0/1