About the webinar
Good data is at the heart of making accurate underwriting decisions.
Although the quality of data available for underwriters has improved, insurers often have to deal with conflicting sources of data and navigating the multitude of companies supplying information.
How do you deal with uncertainty in your data? How do you know what data to use and when?
Join us and CoreLogic as we discuss:
- What sources of data and information are becoming available to insurers from new companies that were not available in the past
- Methods of best practice for using data for underwriting tasks
- Common pitfalls when dealing with lots of data from multiple sources
Webinar Speakers:
- Sachin Keshavan, Head of Modelling, SCOR
- George Gallagher, Senior Leader – Principal: Climate Risk, Natural Hazard and Spatial, CoreLogic
- Moderated by Matthew Grant, CEO, InsTech
You can join CoreLogic live in London at its INTRConnect Europe event on 17th September to learn about the full range of insurers and financial services offerings.
Continuing Professional Development
This InsTech Webinar is accredited by the Chartered Insurance Institute (CII). By watching, you can claim up to 0.5 hours towards your CPD scheme.
If your organisation is a Corporate Member of InsTech and you would like to start receiving a quarterly summary of the CPD hours you have earned through InsTech, then please let us know by emailing [email protected].
By the end of this Webinar, you should be able to meet the following Learning Objectives:
- Explain the significance of accurate property data across various sectors, including insurance, banking and mortgage lending
- Identify various data-driven solutions that are utilised by financial institutions alongside the challenges and opportunities for using property data effectively
- Summarise the current trends and future directions in the use of property data within the financial services industry
Please take a minute to fill in this short CPD feedback form and let us know what you thought of this event.
