Bouygues Telecom uses an analysis platform based on IBM InfoSphere Identity Insight software to help them with in-store and online fraud detection by consumers, dealers and organized crimegroups, and prevent the subsequent loss of products and revenue.
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Bouygues Telecom and IBM InfoSphere Identity Insight - Fraud Detection
1. Bouygues Telecom
Improving fraud detection with entity analytics
Created in 1994, Bouygues Telecom is the third largest mobile phone
Overview provider in France. The company, which has 10 million customers,
aims to become the “preferred brand of mobile, fixed, TV and Internet
Bouygues Telecom
Paris, France communication services” with an emphasis on customer service and
Telecommunications support.
www.bouyguestelecom.fr
Solution components: The need
● IBM® InfoSphere™ Identity Insight With the anonymity of the Internet, greater access to information
online and large profits to be made by reselling hot products like the
iPhone, subscription fraud is becoming a common problem for telcos.
“IBM InfoSphere As a result, having insight into “who is who”, “who knows who” and
“who does what” is essential in stopping fraud before financial losses
Identity Insight tells us occur. Just ask Mathieu Martinez, Manager of Fraud at Bouygues
the true story of who is a Telecom. “If I can detect the fraudster before he’s in my system, I don’t
lose the handset, I don’t lose the dealer commission, and I don’t lose
real customer and who is the revenue from usage,” says Martinez.
a fraudster.”
The solution
—Mathieu Martinez, Manager of Fraud, Bouygues Telecom uses an analysis platform based on IBM®
Bouygues Telecom
InfoSphere™ Identity Insight software to help it proactively uncover
online and in-store fraud by consumers, dealers and organized crime
groups, and prevent the subsequent loss of products and revenue. The
solution, which has achieved 100 percent of Bouygues’ goal for detect-
ing fraudulent account activation attempts, enables the organization to
automatically analyze customer information (including phone number,
bank account, postal address, IP address or any other distinguishing
attribute) across disparate data sources. The information is scored
using sophisticated algorithms and compared against historical infor-
mation to reveal possible matches, such as if the postal address for an