Data Analytics Monthly Forum

Data collaboration is a present-day requirement – research is interconnected, partnerships span multiple organisations, and sensitive data must move (or at least be accessed) across institutional boundaries. At the same time, regulatory expectations are rising, cyber risk is increasing, and public trust is fragile.

The question then becomes: how does my organisation enable collaboration across institutional boundaries whilst ensuring strong security and governance?

Join our upcoming Data Analytics Monthly Forum to explore how Secure Data Environments (SDEs) and Trusted Research Environments (TREs) directly answer this question. Built on modern cloud platforms such as Azure as well as leveraging a scalable analytics engine such as Databricks, these environments provide controlled access, auditability, and structured federation – enabling cross-organisation collaboration without data chaos.

Drawing on real-world delivery experience, we’ll examine the architectural decisions, governance models, and compliance considerations required to design trusted, scalable environments that support your research and advanced analytics.

Agenda

• Understanding SDEs & TREs: A clear definition of Secure Data Environments and Trusted Research Environments, how they work, and why they are becoming central to secure collaboration strategies.
• From Principle to Practice: How SDEs and TREs align with data mesh principles, federated governance, and modern cloud architecture – including the core building blocks required to create scalable and trusted environments for 2026 and beyond.
• Real-World Application in Regulated Settings: A highly governed case example from a security-sensitive environment, exploring how trusted environments were structured and aligned to recognised compliance frameworks such as the Five Safes.
• Enabling Secure Collaboration at Scale: How to support cross-organisation research, partnership working, and advanced analytics without increasing risk.

The organisations shaping the future of research and innovation are those that embed secure collaboration at the core of their data strategy.

Register now to learn how to build secure, scalable environments that unlock collaboration without compromising compliance.

Register Today!

Andrew Edge
Data & AI Specialist

Peter West
Lead Infrastructure and Security Consultant