Fraud Week 2020 - Forensic Data Analytics
Fri, 20 Nov
|Online Webinar
What is Forensic Data Analytics, What are the phases of Data Analytics, a description as to why you should could consider proactive data analytics and potential anti-fraud data analytics and a run through of a number of Fraud analytics case studies
Time & Location
20 Nov 2020, 13:00 – 14:00 GMT
Online Webinar
About the Event
How Data Analytics Can Assist in Fraud Detection
Fraud takes many forms, and it affects virtually every industry, although not in equal measure. The sectors that deal with it use various techniques to get to the bottom of when and why fraud happens. They often use data analytics to help.
A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies. Data analytics technology doesn't replace the need for humans who scrutinize the content and findings, but it can track trends and possible problems substantially faster than people could without help.
Training Outcomes
By the end of the training session you'll be able to:
· describe what Forensic Data Analytics is and the importance of performing.
· Describe the different phases of Data Analytics;
· Describe the different Data Analytics tests for a number of frauds
Speaker:Â
Roslyn Lee-Symmons
Ros is an experienced forensic accountant and a Director in Grant Thornton’s Forensic team. She has specialised in the area of forensic accounting, investigations, expert determination and Forensic Data Analytics. Ros has worked on local, national and international forensic accounting assignments in Ireland, UK, the Netherlands and the UAE. She has prepared expert witness reports in large commercial disputes listed in the High Court / Commercial Court and has undertaken forensic investigations for corporates and regulatory bodies.
CPE: 1hr
As part of the International Fraud Awareness Week 2020 this event is FREE to attend for all members & non-members.