Final answer:
Data Governance structures can be Regulatory, Centralized, Decentralized, or Federated, reflecting different levels of authority distribution within an organization. These structures mirror governmental types including unitary, federal, and confederate systems where power is distributed differently across various levels of governance.
Step-by-step explanation:
Common Structural Concepts for Data Governance
The common structural concepts for Data Governance include Regulatory, Centralized, Decentralized, and Federated systems. These concepts reflect different ways in which an organization's data management practices can be organized to comply with laws, optimize data use, and address organizational data needs.
- Regulatory implies compliance with laws and regulations.
- Centralized Data Governance means that authority and decisions are concentrated in a single central point within the organization.
- Decentralized governance distributes authority more broadly, allowing for more local or departmental control.
- Federated structures are a hybrid, with some central oversight but also autonomous areas reflecting a balance of power.
These data governance structures align with government types such as unitary, federal, and confederate systems. In a unitary system, power is concentrated at the national level; federal systems balance power between national and state institutions; and in confederate systems, power is held primarily by individual states or regions.