Achieving an effective London market data strategy
Overcoming fragmented, poor quality and siloed data to unlock insights, build new capabilities and drive efficiencies
The Gherkin
Free to attend | Only 15 places
Overview
London market insurers and brokers are on a journey to become more data-driven, and having an effective data strategy is essential to enabling growth, improving underwriting performance & portfolio optimisation, and delivering operational efficiencies.
However, this is easier said than done in complex organisations, with legacy technology, disparate data of poor-quality, and a culture that often lacks a clear understanding of data’s value across the whole organisation.
This breakfast briefing will explore how you can overcome the operational and cultural challenges to devise and deploy an effective data strategy that unifies fragmented data, drives efficiencies and lays the foundation for future innovation and competitive advantage.
Topics to be discussed include:
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Driving competitive advantage by leveraging data to win and retain business, differentiate propositions and accelerate product innovation
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Enhancing underwriting performance through analytics for better risk selection, dynamic pricing and portfolio optimisation
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Improving operational efficiency by breaking down data silos, streamlining workflows and enabling process automation
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Elevating the client and broker experience with richer insights, faster service and a more transparent, data‑enabled relationship
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Building data capabilities to leverage AI developments
Speakers
- Takes place in the private dining rooms at the top of the Gherkin
- Only 15 industry practitioner places are available
- Hear the case study then participate in the Q&A
AGENDA
08:00 Registration, tea and coffee
08:15 Breakfast of your choice with views over The City
08:40 Introduction by the chair
08:50 Presentations
Enabling a truly data-driven organisation
Key criteria for developing a successful data strategy
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Achieving business buy-in by linking your data strategy to real business problems
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Tackling poor data quality and legacy thinking which stifles progress
- Developing a data-first organisational culture
Developing and deploying AI capabilities that deliver business results
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Overview of the first iteration of GenAI capabilities in London market underwriting
- Lessons learned and how we have built additional capabilities to streamline processes and improve decision-making
- A vision for truly augmented London market underwriting
Speakers
09.05 Roundtable discussions & feedback
10:00 Close
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