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Data driven fraud detection

26-May-2010
Online
United Kingdom
Begins at: 11am
Duration: 1 hour

Image link: Webinar
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In this current financial climate, areas such as profit protection and combating fraud have come under particular focus.

Using IBM SPSS Predictive Analytics, fraud and profit protection teams can greatly increase the detection and prevention of fraudulent activity by leveraging the power of one of their greatest assets: data.

Already, companies are using predictive analytics technology to effectively detect fraud and mitigate risk. This provides them with actionable insight on suspicious behaviour, allowing them to deal with problems of risk before they occur.

In this webinar we will see examples of the most successful methods used to combat fraud with Predictive Analytics.

In particular, we will focus on:

• How to predict new instances of known fraud
• Identifying previously undetected fraudulent behaviour
• Emerging techniques such as text mining
• IBM SPSS customer case studies
• Real time fraud alerts
• Deploying fraud detection back to the business for maximum impact

View the archived recording. At the SPSS - Webex site, please select "View Recording" at the bottom of the screen. You may need to download the Webex Player in order to view and listen to the recording.