IBM Business Analytics Forum 2012 March 13, 201215, 2012 at 5:00 PM

IBM Business Analytics Forum 2012 is the premier conference for the IBM Business Analytics community in Asia Pacific.

Join us in Melbourne to experience the most comprehensive learning opportunity for IBM Cognos, SPSS, Open Pages and Clarity software users.

The details are:
March 13, 2012 at 8:00 AM - March 15, 2012 at 5:00 PM
Melbourne Convention & Exhibition Centre, South Wharf
This event requires registration: http://www.ibm.com/au/forum2012

I will be presenting the following topics at this forum:

Analytical approaches to fraud detection with IBM SPSS

Anywhere some sort of financial transactions is involved presents a potential for misuse and the ubiquitous spectre of fraud such as online auctions, insurance claims, underwriting entities, insider electronic crimes, and so on. This session discusses various analytical approaches to fraud detection through the use of IBM SPSS.

Session type: Technical Overview
Level: Intermediate


Manage risk pro-actively with IBM SPSS Decision Management

The current global economic environment is unprecedented with bailouts, bankruptcies, government oversight and new regulations. In the past three years, the majority of enterprises experienced material risk events and many were not ready. IBM can help organisations manage their bottom line through risk and fraud analytics. Risk and fraud analytics enables organizations to break down risk silos and better understand the underlying rules and have the flexibility to test own rules that are unique to their organization. By more control over the process, the enterprises can anticipate and mitigate for potential risk – both internal and external. At the same time, by using modelling to identify fraud patterns, and putting that modelling into use in real-time, organisations can reduce the waste and cut the costs from fraud and abuse. This session explains how IBM SPSS Decision Management delivers an approach for helping address transactional fraud detection and individual risk assessment.