The article emphasizes the importance of data team structure in harnessing Data and AI effectively. It uses an analogy of a family's dynamics to illustrate how the roles and responsibilities of a data team evolve over time. As organizations grow, the central team must adapt from a centralized model to a more distributed approach, like hub-and-spoke or platform mesh, to meet the varied demands of domain experts, ultimately allowing for better data management and insightful analysis.
Understanding the right data team structure is critical for organisations to effectively utilize Data and AI, impacting their ability to drive meaningful results.
The analogy of a household illustrates the changing roles in a data team, demonstrating how different structures significantly influence an organization's capabilities in managing data.
#data-team-structure #data-architecture #ai-implementation #organizational-dynamics #data-management
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