A robust data strategy is essential for unlocking the full value of data as a strategic business asset. At the heart of this strategy lies data architecture, the blueprint that defines how data is collected, stored, integrated, and accessed across the enterprise. Enterprise architecture is the critical enabler of this foundation, aligning data initiatives with business goals and ensuring consistency, scalability, and agility. By establishing a coherent and future-proof data architecture, EA helps break down silos, promotes data interoperability, and supports effective data governance. It provides the frameworks and standards needed to manage complexity and foster a truly data-driven culture.

Join this session to explore:

• Key components of a modern data architecture and how they align with data strategy
• How enterprise architecture drives data-centric transformation and enables sustainable growth
• Best practices for data quality, security, governance, and regulatory compliance

• What are the essential components of a modern data architecture, and how does EA help define them?
• How can EA break down organisational data silos and promote interoperability?
• What role does EA play in aligning data initiatives with business goals?
• What are the challenges in integrating legacy systems into a future-proof data architecture?
• How can organisations measure the impact of EA on their data strategy success?

Moderators present the results of the World Café round tables.