Whether you are part of a global enterprise or a small team, understanding the dynamics of centralized, decentralized, and hybrid data team structures is crucial. This webinar will dive into the insights on the benefits and drawbacks of each model, and provide practical advice on achieving data maturity, ensuring data quality, and leveraging data cataloging and lineage for better decision-making.
In this webinar, we’ll cover:
- The pros and cons of centralized, decentralized, and hybrid data team models
- The importance of data maturity assessments and data quality assurance
- Discover how effective data cataloging and lineage can enhance your data operations
- Gain insights into sustaining and thriving in the dynamic data industry through continuous learning, ethical considerations, and data collaboration
This session is ideal for data and analytics leaders, team managers, and anyone interested in building and managing high-performing data teams.