Centralized - all data functions in one central team. Works well for small companies, startups, new organizations. Gets slow once business matures and requires focus

Decentralized - each business unit, geography or department have their own data functions. Works well for larger companies. Introduces issues with data governance, differences in definitions, redundancies, and added complexity

Hybrid - infrastructure, definitions, methods and tooling are centralized, while application and prototyping decentralized