As data environments grow in scale and complexity, organisations are rethinking how data is owned, managed and delivered. Centralised models can provide consistency and control, but often struggle to keep pace with business demand, while more federated approaches introduce challenges around standardisation and accountability. This panel will explore how organisations are designing data operating models that balance these competing demands. 

• How can you structure ownership across central teams and business domains?
• How can you balance control, standardisation and scalability in evolving data models?
• How can you define accountability to support both platform growth and business responsiveness?