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.
Table of contents
Why the Org Structure is So Important, Yet Hard to DoHow to Approach the Right Data Org StructureOverview of the Three Generic Org StructuresBuilding the Right Data-Enabling Org StructureFinal Considerations for the Org Structure53 Impressions