This chapter explores the dynamics of centralized and decentralized data teams within organizations, emphasizing their collaborative roles in data ingestion, governance, and analytics. It highlights the importance of data quality and the challenges faced by data scientists when working with diverse data sources, along with the integration of generative AI to enhance analytics and customer success. The discussion underscores the significance of establishing robust data governance frameworks while empowering business units with the autonomy needed for effective analytics development.