Data has become harder because normal org structures don’t work

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Establishing the right organizational structure for data teams is complex but critical for leveraging data to drive business outcomes. Key challenges include ownership issues, evolving team roles, poorly defined data roles, lack of data leadership, and corporate politics. Three primary structures—centralized, decentralized/data mesh, and hybrid/hub & spoke—each have unique pros and cons. The right structure should align with business goals, data maturity, and the level of cross-departmental collaboration. A flexible, holistic approach incorporating people, processes, technology, and culture is essential for success.

Issue #18 – Organisational Structures for Today's Data Realities

Why the Org Structure is So Important, Yet Hard to Do

How to Approach the Right Data Org Structure

Overview of the Three Generic Org Structures

Building the Right Data-Enabling Org Structure

Final Considerations for the Org Structure