Case Study - finding owners of scam websites
ON-DEMAND WEBINAR
Live date: 7th December 2022
Increasingly we are hearing more about how data analytics can help to find fraud. However, the step change required is to prevent fraud at the outset rather than just investigate it after the fact.
In this webinar Third Line Analytics (3LA) talk through a case study that shows how running advanced analytics over Scam Advisor’s scam websites, Financial Conduct Authority and Companies House data sets can aid with the prevention and discovery of fraud actors.
Led by Phil Gilbank, Chief Data Scientist, and Chris Hilton, CEO at 3LA, you will:
- Get real world insights into how scam website owners were discovered via an interesting recent actual example
- Understand how analytics can be used to prevent fraud via an explanation of how such fraudsters’ methods can be encoded into rules and alerts
- Gain an appreciation of some of the analytical techniques and tools available now that can aid you prevent fraud efficiently and cost effectively
Webinar run in collaboration with Third Line Analytics (3LA)
Find out how they can help the public sector fight fraud more compliantly, cost effectively and accurately than ever before:
Continue the Debate
This webinar is just a part of what the GovNet Fraud series has to offer.
Join us and the 3LA team on 22nd February 2023 for the award-winning Counter Fraud conference, in collaboration with the PSFA.
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