Data mesh and data fabric have become widely discussed architectural approaches, but many organisations are still struggling to translate these concepts into practical, scalable solutions. Questions around ownership, platform capabilities and operating models remain key barriers to success.

This panel will explore how organisations are making these architectures work in reality. 

• How can you define domain ownership and accountability in a way that scales? 
• What platform capabilities are required to support distributed data access? 
• How do you balance architectural ambition with the practical constraints of legacy systems, organisational structure and cost?

Regulatory and risk reporting place increasing demands on data quality, consistency and control. However, many organisations still face challenges with reconciliation, data discrepancies and fragmented ownership across finance and risk functions.

• How can you identify and resolve inconsistencies across datasets more effectively? 
• What controls are needed to strengthen governance over critical reporting data? 
• How do you improve confidence in enterprise-wide reporting while reducing manual effort and operational risk?