Using Big Data to Detect and Reduce Fraud

The core principles & issues surrounding the use of Big Data for fraud risk management & will leave with valuable knowledge on how to best implement strategies.

8 Jul 2014 at Holiday Inn London - Bloomsbury, United Kingdom

Engineering, Technology

Using Big Data to Detect and Reduce Fraud 8 Jul 2014 Holiday Inn London - Bloomsbury, United Kingdom
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The financial services industry will begin making significant strides in 2014 toward using data analytics to fight fraud, experts predict. The value of using big data to help prevent or detect fraud is becoming clearer, helping institutions make a business case for data analytics.Instead of getting focused on a desired outcome, such as a way to reduce card fraud through big data, Gartner argues organisations need to accept the overall picture big data offers, even if it is not what they anticipated.

Delegates of this masterclass hosted by Fraud Consulting will be introduced to the current fraud and cybercrime landscape which is having an impact to both public and private sector organisations worldwide. Through a series of interactive discussions delegates will learn how the proceeds of fraud is funding global criminal activity and understand the motivations behind the networks that are collaboratively causing disruption to websites, business operations, and critical infrastructure.

Why You Should Attend:
There are many challenges in ensuring that organisations are sufficiently equipped to deal with big data in the context of fraud prevention. From a legal and regulatory perspective there are complex considerations to understand when it comes to implementing solutions. Working under the Chatham House rule, attendees will be encouraged to share experiences on various aspects including detection, prevention, tools and intelligence sharing.

When
From: July 08, 2014 08:30
To: July 08, 2014 17:00
Where

Holiday Inn London - Bloomsbury, Coram St, WC1N 1HT, United Kingdom

Category

Engineering, Technology

Contact email
dlee@smi-online.co.uk

Contact phone
+44 207 827 6078

External link

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