Panel discussion overview

Data has always been central to London market underwriting and decision making, but with the emergence of advanced analytics, automation and now (Gen)AI tools, building data capabilities around a strategy that aligns with business objectives has never been more critical.

However, while data teams traditionally own data quality and controls, this session aims to explore the growing reality that data challenges often originate and are resolved within operational workflows. This can lead to friction between operations and data when devising and implementing the strategy.

Our expert panel will discuss how they approach these challenges and will explore:

• Operational ownership of data quality
  
  Understand why data quality is no longer just a data team issue, and explore practical ways to embed responsibility for data into operational workflows to improve trust, usability, and business outcomes
• Breaking through execution barriers
  
  Examine the real-world operational challenges that hinder data strategy execution – from siloed ownership and legacy systems to lack of process accountability – and discuss how to overcome them
• Making data usable where it matters
  
  Explore how to ensure timely, accessible, and fit-for-purpose data reaches the right teams (e.g underwriting and operations) to drive smarter decision-making in a complex, fast-moving market.
During the interactive Q&A that follows, have your questions answered and leave with the insights to help drive your data-first strategy forward successfully.