FS Data innovators

Tuesday, 4th of November 2025

The Little Ship Club, Cannon Street, London

Agenda

*Speaker Lineup To Be Announced Soon*

Time

Session

Format

Networking Break

Opening Address

  1. Why is it so important to have a clear, business-wide data strategy in place?
  2. What are some of the biggest data-related challenges facing firms today?
  3. What tools and strategies are firms employing to cope with the growing volume and complexities of their data?
  4. At a strategic level, how should data leaders think about preparing their data foundations to enable meaningful use of AI across the business?
  5. How do you bring the wider organisation along on the data journey—whether it’s upskilling, engagement, or building a culture that values data?
  6. If you could offer one piece of advice to a fellow data leader rethinking their strategy for 2026, what would it be?

Panel Discussion

Presentation

Networking Break

  1. What are the biggest challenges firms face with their current data architecture and platforms?
  2. How are firms approaching the process of modernising their data architecture—what does that journey typically look like?
  3. What are the challenges and opportunities in using cloud-based platforms?
  4. When it comes to platform components like ETL/ELT tools, workflow orchestration, or APIs—how should firms think about building a flexible, scalable stack?
  5. How are firms enabling more real-time data flows across their architecture to support faster, more informed decision-making?
  6. How can you ensure your data modernisation efforts align with your organisation’s broader digital transformation strategy?

Panel Discussion

Product Demo

Product Demo

  1. Why is having strong data quality and integrity critical to the wider business—and what value does it unlock when done well?
  2. In your view, what are the most common root causes behind data quality or integrity issues?
  3. What strategies or tools are helping organisations improve observability and data lineage today?
  4. How are technologies like automation, machine learning, or analytics being used to strengthen data validation and quality assessment?
  5. What role does data governance play in maintaining quality and integrity—and how can firms better align their governance frameworks?
  6. As organisations scale, what advice would you offer to ensure data quality and integrity remain strong at every stage of growth?

Panel Discussion

Networking Break